8.30 - 9 AM : Registration and Sign in (Meeting Room Entrance Area)
9.00 - 9.10 AM : Welcome from WearSys Chairs
9.10 - 10.00 AM : Keynote: mSelf - Using Mobile Sensors to Self-monitor and Improve Health, Wellness, and Performance, Prof. Santosh Kumar, University of Memphis
Abstract: Mobile sensors can track human states, the surrounding context, daily behaviors, and exposures to risk factors in the natural field environment. Real-time analysis of such sensor data makes it possible to deliver personalized recommendations on mobile devices to improve health, wellness, and performance. The talk will use the example of mobile sensors, software platforms, and recently developed markers of health and wellness to highlight the mobile computing, data modeling, and validation challenges emerging in these mobile sensor systems that are expected to work for each individual in their natural field environment and deliver high-utility with minimal burden. Finally, this talk will highlight novel behavioral privacy challenges emerging in such systems. The talk will end by describing a vision of mobile self (mSelf) and emphasize the need to work in multidisciplinary teams to successfully realize this vision.
10.00 - 10.15 AM : Break
10.15 - 11.05 AM : Session 1: Activity and Gesture Recognition
AuthoRing: Wearable user-presence authentication. Xiaohui Liang (University of Massachusetts Boston), David Kotz (Dartmouth College)
Capacitive sensing 3D-printed Wristband for Enriched Hand Gesture Recognition. Hoang Truong, Phuc Nguyen, Anh Nguyen, Nam Bui, Tam Vu (University of Colorado Boulder)
Toward a wearable sensor for eating detection. Shengjie Bi, Tao Wang, Ellen Davenport, Ron Peterson, Ryan Halter (Dartmouth College), Jacob Sorber (Clemson University), David Kotz (Dartmouth College)
11.10 AM - 12 PM: Keynote: Challenges and Opportunities in Wearable Systems, Prof. David Kotz, Dartmouth College
Abstract: Wearable systems offer great promise in application domains as varied as healthcare, eldercare, augmented work, education, athletics, entertainment, parenting, travel, and personal productivity. In this keynote lecture I outline some of these opportunities and identify some of the many challenges we face in developing wearable technology that realize those opportunities. Notably, I anticipate wearable technology raising significant security risks and privacy issues – challenges we must address as we design and develop wearable devices, systems, and applications if we hope to see this technology widely accepted and adopted. Strong (and usable) security mechanisms are essential for safety-critical applications; meaningful privacy protections are essential for systems that accompany us through our private and public life. By raising these concerns today, I seek to ensure the wearable systems of tomorrow will have strong and usable security and privacy properties.
12.00 - 1.30 PM : Lunch Break
1.30 - 2.10 PM : Session 2: Wearable Healthcare
A Photoplethosmograph based Practical Heart Rate Estimation Algorithm for Wearable Platforms. Shalini Mukhopadhyay, Nasim Ahmed, Dibyanshu Jaiswal, Arijit Sinharay, Avik Ghose, Tapas Chakravarty, Arpan Pal (TCS Research and Innovation)
Detecting compensatory trunk movements in stroke survivors using a wearable system. Rajiv Ranganathan, Rui Wang, Rani Gebara, Subir Biswas (Michigan State University)
Understanding Long-Term Adoption of Wearable Activity Trackers Among Older Adults. Lin Li, Wei Peng, Kendra Kamp, Marie Bowen, Shelia R. Cotten, R.V. Rikard, Anastasia Kononova (Michigan State University)
2.10 - 3.00 PM : Session 3: Wearable Performance
Distributed Adaptive Model Predictive Control of a Cluster of Autonomous and Context-Sensitive Body Cameras. Shiwei Fang, Ketan Mayer-Patel, Shahriar Nirjon (University of North Carolina at Chapel Hill)
Toward accurate and efficient feature selection for speaker recognition on wearables. Rui Liu, Reza Rawassizadeh, David Kotz (Dartmouth College)
Rethink Phone-Wearable Collaboration From The Networking Perspective. Xing Liu, Yunsheng Yao, Feng Qian (Indiana University)
3.00 - 3.15 PM : Break
3.15 - 4.00 PM : mHealth Panel