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Topic Archives: Meeting Recaps
Last week we had over a 100 folks attend our 16th NY Show&Tell with a Demo Hour held on Tuesday, May 8th at an incredible space that was generously provided by Digitas, a digital brand agency that has watched and supported QS closely over the years.
DIGITAS LABS DEMO HOUR
Digitas Labs and Ben Ahrens assembled a fascinating group of QS members to share their stories, innovations and experiences in our first demo hour that had a real science fair feel. Some of the demos ran on some awesome touch screen devices provided by Digitas Labs. It started at 6pm with the following demonstrations:
Zack Freedman demos Optigon
Sandy Santra gave a lively demonstration of a truly unique DIY self-tracking system built for the iPad that not only charts psychological changes and their effects, but also provides users with full editorial control over data fields and allows them to customize their own personal experiments.
Kat Houghton, founder of ilumivu, displayed a wearable emotional state detector designed to empower people with the ability to tap into their own behavior and the behavioral responses of children with autism to help facilitate positive health and lifestyle changes.
Folks gathered in the Innovation Room as Alex Smith demonstrated his software called “Timebinder” which he designed to create visual timelines out of timestamped data — particularly useful for bringing asynchronous time series data from multiple sources into a single view for analysis.
Craig Dunuloff took spectators through a virtual blast into the past with his app Rewind.me. Where was that restaurant? How may friends were there? What did the gang do last night? This app allows users to get more value out of what they’ve done in their lives by aggregating data from other services such as Facebook, Foursquare, Tripit, Runkeeper, and more. It also lets you see and compare your activities to those of your friends and the world at large.
Amelia Rocchi gave QS members a behind the scenes look at InsideTracker – a web-based service that helps individuals optimize their overall health and performance by giving them a unique view into their personal biochemistry.
Christian Monterroza unveiled his time-tracking project that uses geo-fencing to passively track and organize daily activity. One of the most fascinating and helpful aspects of Christian’s app is that it allows the user to easily and personally allocate different regions of spaces for different activities, i.e., the park is for running; the freeway for driving; the living room for sitting; the grocery store for food shopping, etc. The app then takes over and auto-logs the activities based on its users geography. Fully customizable – NO LOGGING REQUIRED!
Zack Freedman (@ZackFreedman) was quick to draw a crowd with “Optigon” – a wearable wireless cyborg system that integrates with the user’s smartphone allowing him or her to access all data and keep it in plain site – even view nearby mobile user’s text messages, or as Zack puts it, “read people’s minds”! This awesome demo was every bit as impressive as it looked. Zack is currently seeking partners and investment to turn his devious device into the Arduino of wearables.
Following the demo hour, we had four inspiring talks from QS members of the NY community.
How analytics improved my personal life and helped a losing soccer team
Stefan Heeke has a background in analytics and wanted to start using this skill for three self-improvement projects.
The first project was measuring his physical health. He was using the Fitbit to track his activity. He discovered that it takes some time at the beginning but then eventually he discovered what works for him. Specifically, he identified three areas: don’t eat fried food, cut out snacks, and cut out alcohol.
The next project was a daily journal. He decided to write down numbers to better understand how he feels each day. He found that he could gather some very actionable data by correlating the right metrics with each other. His approach is to identify both a positive and negative correlation to the activity. For example, he would correlate stress, whether he had a successful day, or general feelings of satisfaction. He also tracked his commuting time. He wanted to figure out how his daily commute impacts his mood. He found that as his personal time available decreased, his food quality decreased and his television time increased. Overall, he found that a) social days are good days, b) proximity to work is important, c) stuff in general has no impact, and d) TV is a time killer.
The third thing he tracked is how to apply personal metrics to a soccer team. He tried to model the most probable outcomes for certain soccer scenarios in terms of likelihood of success. As a result of the tracking, the team made it to the finals of the soccer league.
Ultimately, Stefan learned that whenever you apply data, it has a transformative impact and if you want to improve your life, data can help. He was also surprised at the number of distractions he ran into and how much that had an impact on his life.
Jana Beck started her self-tracking journey with the goal of better understanding the impact of her diabetes. She was diagnosed with type 1 diabetes at age 19 and has been dependent on synthetic insulin for survival since. Her problem is that dosing insulin is not easy and is not a one-size-fits-all thing. It requires a lot of adjustment and impacts people differently. She set out to better understand her diabetes and better optimize her glucose management.
She started using a continuous glucose monitor on the back of her arm last year. This device transmits blood readings every 5 minutes and she gets trend and rate of change information. She has a target goal of keeping her readings between 70 and 130 mg/DL.
Her first experience was shock and her next was frustration. She found it hard to change her patterns. So she developed a hypothesis and set out to test it. Her hypothesis is that she needs to restructure her carbohydrate intake. The first step was to read a book on the topic (Good Calories / Bad Calories by Gary Taubes). The next was to use her monitoring device to track how her glucose changed based on her changes in carbohydrate intake. Her conclusion is that a low carbohydrate diet had a significant impact on her readings.
To run her analytics, Jana built her own statistical analysis program using R that tracks daily percentages over time for each type of blood sugar reading (carb-restricted vs. regular diet) against a target. Her program is called iPancreas and is available on Github.
Her next step is to try and start pulling in other variables (exercise, mood, etc.) to see how this changes her patterns. Ultimately, Jana’s self tracking project taught her how to best eat so that she can control her diabetes.
Walk all of Manhattan
Alastair Tse recently moved to NYC six months ago to work at Google. He hadn’t spent much time in NYC previous to moving here and wanted to better discover his new home city. Each day he commutes from 27th St. to 14th St. in Manhattan. One day he was trying to figure out the optimal route to work and wondered how many patterns are there to get from point A (home) to point B (work). He further extrapolated on this idea to see if it’s possible to walk all of Manhattan, and track it.
He started by writing down his walking experience in a notebook and just using general Google Maps. This turned out to be a bad idea because it wasn’t scalable and Google Maps can be buggy. So he built his own mapping app that uses Google Maps but allows him to map his own routes. The app tracks the streets he goes down and allows him to edit each route. It then tracks the routes he takes and shows his walking history.
He learned that it was possible to track something like where in a city a person walks and it’s very useful. In fact, he found that he hadn’t walked one square block north and one square block south of his apartment, much to his surprise. It got him to wonder, what other areas of the city is he often near, but never explored. The app helped Alastair adjust to living in a brand new city and has given him some ideas for places he wants to eventually explore.
How visualizing health problems could help solve medical mysteries
Katie McCurdy is an interaction designer with Myasthenia gravis, an auto-immune disease that causes muscle weakness in voluntary muscles She’s had it for 20 years and has been taking a drug to help the disease. She decided to take an alternate route and consult a holistic doctor. This was a new doctor so she was very motivated to make sure this new doctor understood her entire 20 year history with the disease. So she decided to make a timeline, from memory. She drew a timeline that included when she was feeling good and when she was feeling bad. She annotated the timeline for when she took certain drugs.
Initially, this was all drawn by hand. But as she worked on it, she decided to digitize it. So she next built the timeline into Adobe Illustrator so the graphs can be more accurately represented.
But it wasn’t enough to see all of her mood timelines separately. She wanted to overlay them so when symptoms go up and down, she can see how they are associated with each other.
Two variables she tracked were gut feelings (physical) and voice strength. These are two areas in which the muscle constriction has a high and very noticeable impact. This experience has helped her tell her story in a structured and coherent way and for that reason, this entire project has been helpful.
She learned that antibiotics were probably making her sicker, that docs are busy and probably skeptical of yet another patient created graph, that better health visualizations can be a great storytelling tool, and that memories are data too. Ultimately, she ended up being inspired and is currently doing more focused tracking in other areas of her life.
See our interview with Katie in an earlier QS post here.
Thanks to everyone who came out. We’ll get the videos up soon. See you this summer at the next NY QS Show&Tell.
Last Thursday, twenty people gathered in Beirut, Lebanon for the first QS meetup there. It was organized by the wonderful Hind Hobeika, and had presentations by a biomedical engineer studying human motion and a competitive outdoor sports enthusiast, as well as talks about a data analysis project on cortisone and tracking blood coagulation rate. Some pictures from the event are included below, and here’s a write-up of the event. Exciting!
The QS Meetup on March 13th in Mountain View was great fun, and covered a variety of topics ranging from nutrient tracking, classifying large archives of footage, quantifed-mind.com, and pH tracking, and newly disclosed interventions for mitigating the emotional knots associated with stressful events.
The meeting began with a round of introductions in which people described some of their areas of expertise, research, and curiosity. It ended with smiles on everyone’s face.
The discussion quickly moved to interest in a recent Wired article, which suggested it was possible to mitigate the emotional impacts of traumatic memories. Some discussion pondered to what extent this intervention actually erased the memories themselves, rather than the emotional knots associated with it. In this procedure, participants were actively encouraged to recall some debilitating stressful event such as a war time tragedy or familial abuse, while under the influence of this chemical concoction.
Ryan B said that a number of important new chemical interventions were being developed showing promise in reducing the brain plaques commonly associated with Alzheimer’s disease. Ensuing discussion also considered the possibility that other chemicals such as MDMA may have similar promise in releasing the emotional knots associated with trauma. Alex Grey pointed out that long term effects on down-regulating brain chemical receptors has to be considered, as some chemical interventions like MDMA can lead to a deficit in the neurochemical receptors for serotonin or oxytocin that promote happiness.
It was also suggested that the use of humor may be a non-chemical intervention capable of the same effect. One viewpoint is that any given set of facts can be written as a drama, tragedy, mystery, or a comedy. Perhaps communications-oriented processes that help to see the humor in terrible tragedies may also help to relieve the emotional knots associated with trauma. However, the use of these sorts of techniques in American culture may be challenging to adopt, owing to a propensity to take ourselves too seriously.
Yoni Donner discussed his new research with http://www.quantified-mind.com/, which is a free web app for measuring a number of aspects of intelligence. He said the app takes about fifteen minutes to establish a baseline, and allows participants to track how different aspects of their cognitive performance change over time. He said that care was taken to minimize training effects, so that the tool is better able to track other interventions, training, nutrition, or environmental factors on various types of intelligence.
He noted that they decided to keep the interface as simple as possible so that it could be easier to use. Although the use of sophisticated brain tracking was considered, it was not included owing to the relative paucity of deployment and the logistical challenges associated with setting up and using existing brain training equipment.
Phil von Stade discussed his interest in deriving some meaning, doing research on, or creating art from the 20,000 feet of archived family movies, and thousands of hours of video recordings he has, dating back to the 1950s. In addition, he has also shot several gigabytes of his own picture and video logs. He pointed out that the sheer size of the dataset makes it difficult to find or organize content in a useful way. Some efforts have been made to create slideshows and stories from this archive.
Tools which are automatically able to tag content with metadata such as participants, date, emotional patterns, behavioral data, or even physiological data might be useful in helping to better index such an archive.
There was also some discussion about the use of pH data from urine and other bodily fluids as a marker for other changes in the body. Steven Fowkes said that tracking pH was good for indentifying various physiological states associated with inflammation, leaky-gut syndrome, and other health effects. Some practical considerations were noted with existing measuring techniques, which require one to hold a strip in front of a stream of urine and disposing of this without creating a mess. A pH sensor mounted in the toilet with a Wi-Fi connection could solve these challenges, and provide a potentially reliable, no-touch measurement system for health research.
This led to a discussion on some of the challenges associated with current limitations in describing food. As it stands, many tracking systems might consider wheat from different sources, production processes, and species as identical, while each may have wildly different cooking and health effects, noted Raj. For example early research suggested that high-meat diets were leading to high-level of cholesterol and fatty deposits in the late 1960s. Follow up research suggested that it was in fact a growth in the consumption of grain-fed cattle that were causing these effects.
There are also curious discrepancies and changes in the nutrient database compiled by the USDA, which is often used by tracking programs to estimate the nutritional composition of various foods. For example, the average levels of calcium for the same portion of kale and calcium dropped 10-fold between 1980 and 1990. Perhaps improvements in the farm-to-fork databases now being mandated in the US could help to rectify these discrepancies.
On February 7th, 2012 there was an amazing “meeting of the minds” at CALIT2 down in San Diego, CA. The local San Diego Quantified Self meetup group working in collaboration with CALIT2, the Center for Wireless and Population Health Systems, and the West Wireless Health Institute brought together Gary Wolf (Quantified Self founder), Larry Smarr (CALIT2 founding director), Dr. Eric Topol (Scrips Translational Research Institute director and world-renowned digital health evangelist), and Dr. Joseph Smith (Chief Medical Officer of the West Wireless Health Institute) for a great panel discussion. As you’ll see and hear below, it was a lively discussion surrounding the topics of Quantified Self, personal health, the future of the medical profession, and patient-provider communication. There was also a great round of questions from the audience (and twitter) and I highly suggest you stick around to hear the very last question!
Special thanks to CALIT2 for filming and editing the event video. You can find more videos from CALIT2 on the their Youtube channel here.
I had the great pleasure of attending a QS meetup in Los Angeles this past weekend, hosted by Eric Blue. There was a great group there, 30 or so folks. One great comment in the introductions was from someone near the end of the circle saying, “This is totally blowing my mind!”
Eric has put together a compilation of slides and links from all five LA meetups so far. Here it is:
Show & Tells
- Ernesto Ramirez gave a presentation (My Bits of Fit) on his Fitbit data and activity patterns, including some great visualizations (Thanks to @chloester)!
- Slides at Inside Tracker – QS LA Presentation
- The Ultimate Answer
- Introduction to the Happiness Formula
- Site at http://workfoodout.com/
- Demo at http://traqs.me
- Slides at http://www.slideshare.net/ericblue76/traqsme-presentation
- Chloe Fan - Visualizations for My Bits of Fit
- Fitbit + Google Spreadsheets = Awesome
- Fitbit Hacks - Eric’s original unofficial API to scrape data
- Fitbit’s Official API
- Cake Health
- Creating the Ultimate Personal Travel Journal
- Eric’s Personal Memex Project
- GeoLocation (GPS) and Self-Tracking
- Gordon Bell’s My Life Bits Project
We here at Quantified Self Labs wanted everyone to know that tonight (Feb 7th, 2012) Gary Wolf will be speaking in San Diego on a panel with Dr. Eric Topol, Larry Smarr and Dr. Joseph Smith about “Quantified Self and the Future of Personal Health.”
The panelist for the event include:
Gary Wolf is the co-founder of The Quantified Self, a global collaboration among users and makers of self-tracking tools. His is also a contributing editor at Wired magazine, where he writes regularly about the culture of science and technology. His work has appeared The Best American Science Writing (2009) and in The Best AmericanScience and Nature Writing (2009). In 2010, he was awarded the AAAS Kavli Science Journalism prize. In 2005-2006 he was a John S. Knight Fellow at Stanford University.
Larry Smarr is the founding Director of the California Institute for Telecommunications and Information Technology (Calit2), a UC San Diego/UC Irvine parnertship, and hold the Harry E. Gruber professorship in Computer Science and Engineering at UCSD’s Jacobs School. Dr. Smarr has recently been profiled by Xconomy about his ‘10-Year Quest for Quantified Health‘
Dr. Joseph Smith is the Chief Medical Officer and Chief Science Officer of the West Wireless Health Institute, Dr. Joseph M. Smith leads initiatives to identify and accelerate the use of health care innovations and technologies to advance the Institute’s mission of lowering health care costs.
Dr. Smith has an extensive career at the intersection of clinical medicine and engineering. Prior to joining the Institute, he was most recently Vice President of Emerging Technologies for Johnson & Johnson in their Corporate Office of Science and Technology. He also served as Senior Vice President and Chief Medical Officer of Guidant / Boston Scientific, Cardiac Rhythm Management.
Dr. Eric Topol is an innovator and pioneer in the fields of wireless medicine and genomics. In addition to his serving as Vice Chairman of the West Wireless Health Institute, he is the Director of the Scripps Translational Science Institute, a National Institute of Health funded program of the Clinical and Translational Science Award Consortium. He is also Professor of Genomics at The Scripps Research Institute; Chief Academic Officer and holder of the Gary and Mary West Chair of Innovative Medicine at Scripps Health; and, a Senior Consultant cardiologist practitioner at Scripps Clinic. Dr. Topol has been elected to the Institute of Medicine of the National Academy of Sciences, named as one of the 12 “Rock Stars of Science” in GQ, Top 100 Most Influential People in Healthcare in 2011, and is recognized by the Thomson-Reuters Institute of Scientific Information to be in the Top 10 cited biomedical researchers in medicine in the past decade. He is also the author of the recently released book, Creative Destruction of Medicine.
Although this event has been sold out for those in the San Diego area, CALIT2 is able to stream a live webcast of the event. If you would like to tune in please set your calendar reminders for 7PM PST and follow the instructions below. Once you’ve downloaded the appropriate software be sure to tune into the live stream at: http://calit2.net/webcast.
Calit2 On-Demand Streaming in Windows Media
Calit2 webcasts require Microsoft’s Windows Media Player or compatible software and a broadband Internet connection. Our typical webcast stream runs at 512kbps at 640×480 pixels.
Mac users can download a free software program called Flip4Macthat will allow their Quicktime player to play back Windows Media formats.
Troubleshooting playback on a Mac?http://www.flip4mac.com/support_wmv.htm
We will also be taking questions via twitter during the event. Please use the #FHSD hashtag if you would like to ask the panelists a question during the Q & A period.
There are many ways to experience a conference, especially one with so many inspiring overlapping sessions presented by attendees. My personal bias is towards mood tracking, so that’s mostly what I paid attention to this weekend, as well as meeting all the impressive quantifiers who came!
If you want to look back over the conference, here are links to the photos and tweets that came out of it. Paul Miller, Martha Rotter, and Gangadhar Sulkunte also wrote up some great summaries of their experiences. Huge thanks to our great friends at QS Amsterdam for helping to make this happen!
Here is some of what I took away from the weekend:
- Jenny Tillotson is working on “emotional clothing” that can sense how you’re feeling and boost your mood/energy or help you relax.
- I had never thought of the idea of collecting silence, as Danielle Roberts does.
- Lisette Sutherland’s recipe for overcoming social anxiety? Habituation. Pick a social thing that scares you but that you enjoy doing, and keep doing it over and over again, even if it’s hard at first. You will learn to recognize the patterns of your feelings and begin to be able to insert a rational thought into the emotional loop – “this fear is not real!” – which will lessen the severity of the emotion.
- A good reminder – not every pattern has meaning. Sometimes it’s just meaningless coincidence.
- Jan Peter Larsen told us about patterns that predict addiction or depression relapse, and interventions to help prevent full relapse. The predicting patterns include sleep inconsistency, social passivity, and web surfing, both duration and types of sites visited. The interventions include inviting reflection on and awareness of your mood patterns, and facilitating the act of reaching out to other people for support.
- Steve Dean showed how deconstructing behaviors into sequences of small, specific actions can help you design rituals that work for you in your daily life.
- Richard Ryan presented research showing that emotions only last for 90 seconds, unless you keep amplifying them.
- One of my own insights from the weekend is that carefully managing my inputs (sensory, social, emotional and informational) is important to not triggering destructive or negative emotional states.
- Another of my insights: when you recognize a painful pattern in yourself, that’s the first step towards replacing it with a helpful pattern that meets the same underlying need, but in a non-harmful way. This led to a pretty significant breakthrough for me!
- Marco van Heerde pointed out that sometimes too much precision in your data isn’t helpful for building awareness. It’s ok to be vague!
- Kristin Prevallet taught us some powerful mood-managing exercises, including EFT. You can focus on and change how your body feels in order to change your mental state. In other words, ease your emotions somatically, before they turn into big stories in your mind.
- And finally a wise insight from Robin Barooah: the problem with research isn’t that it’s too slow, it’s that existing research isn’t put into practice.
Georgios Papastefanou gave us an overview of the emotions and sensations that can be measured through a device. Tiredness is measured as a decrease in sympathetic nervous system activation. Fear also has very distinct physical markers.
Happiness is more difficult to quantify. There’s also a difference between the self-reported emotions of young men vs what their physiological data indicates. There’s a greater correlation between the self-report and data in women.
Just using the tracking devices has changed behavior for Georgios himself. His suggestion is to give a mobile measurement device to someone who is dealing with obesity and ask them to mark their feelings of hunger. If someone is more aware of how hungry they are feeling, they get a good feedback loop of when they are eating due to hunger pangs vs. other reasons they have for eating.
Last month 75 QSers attended the New York Show&Tell #13 that was held on Wednesday, August 24th at NYU ITP, one of our regular sponsors in New York. Thank you to my co-organizer, Brian Gallegos, who helped pull together this recap for the blog.
Ari cured himself of Crohn’s disease by experimenting with some unusual supplements, nutrition and fitness regimens and tracked every bit of it.
Four years ago, Ari was diagnosed with Crohn’s disease. After a couple of years of intense pain, sixteen pills a day, and yet another visit to the hospital, he decided to take control of his pain. So, he started to track everything. His tracking regimen included exercise, supplements, sleep, food, etc. He used some popular tracking tools such as the FitBit, Zeo, and 23andMe. He correlated these metrics with how much pain he was in and his mood. The difficult part was trying to quantify the psychological component.
Ari learned to control the pain from Crohn’s, it took a certain combination of food, supplements, exercise and sleep but the key was collecting enough data through experimentation. The other key learning from Ari’s work was that sharing the data is very important. Sharing included his friends, family, doctor, and others with Crohn’s. This sharing of data helped him analyze the data better and made him feel better about the task. Watch Ari’s talk.
Marie has fairly popular issue that many deal with everyday but she decided that it was important enough to start analyzing and understanding it better. The issue is mood and her solution was to track her mood three times a day. She created a scaling system from 1 – 5 with 1 being extremely low and 5 being extremely high.
Although she started with post-it notes, Marie created an iPhone app so she could track her mood on the go and started to notice patterns in her life that greatly contributed to her mood.
Marie learned that the best way to analyze her mood data was through visual representation. Her iPhone app gives her a visual way to understand her mood patterns in a quick way and enables her to correlate different mood data points on the fly. Her goal is to continue tracking her mood for self experimentation and share her application with others. Watch Marie’s talk.
Roger Craig is a Jeopardy champion. But he’s not *just* a Jeopardy champion. He’s the record holder for the most money won in a single game in the history of the show.
But Roger isn’t some savant with perfect quiz show memory. Instead, he set out to find a way to look at the show from a historical perspective and try to understand what types of questions are asked, at what frequency, and for what value. He started by taking a database of all of the questions ever asked in the history of the game and creating a taxonomy to label the question types. He then mapped out the question types, values, and frequency on a plot and identified the highest value question types. Next, Roger built an application that gave him actual questions based on his desired type and value along with a timer to train himself to answer questions in a quicker fashion.
Roger learned that it’s more important to ask the right questions of your data than it is to just have the right data. Watch Roger’s talk.
Yury Gitman and Joel Murphy
We were thrilled to have Yury and Joel come out and demo their open hardware project called Pulse Sensor with the local QS community. The project tagline is “heart rate beats per minute for Arduino, lickety split.” and QS contributed to helping them reach the goal of raising $3,000 on Kickstarter. Read the QS post on Pulse Sensor. Watch Yury & Joel’s talk.
Already a successful businesswoman, Tereza had a couple big events in her life that resulted in major life changes. The biggest of these changes was the loss of a family member that was a primary support mechanism and life confidant. She didn’t know where to turn for advice going forward and had an idea. The idea was to go out and just ask people what they think, collect their feedback, analyze the feedback data, and give it back to the people that she asked. The result is her Web tool called Honestly Now, which is available for general use. All you have to do is create an account, setup a profile and start a conversation!
Tereza learned that collecting feedback from the crowd can help her make daily decisions and there is high value to just asking people what they think. Watch Tereza’s talk.
Adam was a successful marketing manager in the online advertising industry but he felt like there was something missing. As more and more online tools are collecting browsing behavior of people in an effort to offer more targeted ads, there is more information to filter through and a lot of data that just didn’t have value. He also realized that people have very unique needs and corresponding browsing behavior. How can I track my Web usage?
So he created his own application. voyurl is a browser-based tool that collects browser history and gives you a rich set of reports to help you better understand how, when, where, and how long you surf the Web. Some of the questions he set out to answer was:
* What kinds of sites to I spend my time on?
* How do I break my personal information filter bubble?
* How can I adjust my behavior to balance my browsing in more impactful ways?
Adam learned that by collecting Web browsing data, you can identify patterns to help you optimize your browsing experience and expand your exposure to different content on the Web. He also learned that the visual aspect of representing data and patterns is a very important catalyst for affecting change in a way that data in a spreadsheet just can’t accomplish. Watch Adam’s talk.
Thanks everyone for coming out. Planning is underway for our next event in October. Join the New York group on Meetup.
It’s been almost 2 months, but on the sixteenth of May we held our third meetup of QS Amsterdam. We moved our venue again to the Waag which kindly offered us their space.
Our first speaker was Remko Siemerink who discovered a strange pattern during his summer according to Last.fm. It turns out he stopped listening to music and this could be related to his ‘summer depression’.
Up next was Ted Punt from TNO who talked about a wireless sensor for monitoring body functions such as breathing, heart-rate or movement during sleep. The technology presented users radar accurate up to 1 millimeter, which for a wireless sensor is quite awesome!
Withings presented their new blood-pressure monitor while announcing a new product which focuses on the lives of babies.
Then I gave a short talk about our public transportation system, using a card much like the Oyster-card used in London. I made a small tool that allows people to upload their data and make a heatmap and provide a feedback-loop about their usage. I gave a short insight into the development process and the things I had to do with the data to make it understandable.
Frog Design and Novartis showed a wireless pill used for monitoring speciifc metabolic processes in your stomach related to organ transplantion. The crowd was amazed by the size of the pill and the system used for accessing data. (a simple patch you can stick just under your ribs).
And lastly Victor van Doorn presented his iPhone app, with a really nice design that delivers a diary, but not by writing but GPS signals, twitter updates or photo’s that you upload. The design looked really nice and the app is about to be released into the App Store!
The videos will be released individually on this blog, but you can see them all at http://vimeo.com/qsams/videos