WristSense 2019: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices.
(Co-located with IEEE PerCom at Kyoto, Japan, March 11-15, 2019)
8:45 – 9:00 Introduction and Opening Remarks
9:00 – 10:00 Keynote Talk
Keynote Talk: Dr. Koji Yatani (University of Tokyo, Japan)
Title: Interactive Technology for Personal Healthcare Applications
Personal healthcare technology empowers users to record and track their own health-related information for preventing diseases. But many in-home activities and scenarios remain under-explored for personal healthcare technology. Interactive Intelligent Systems Lab. led by Koji Yatani is investigating interactive technology that can exploit unique sensing opportunities and offer convenient sensing. In this talk, I present three latest research projects in this area, a plaque-aware toothbrush, opportunistic sensing in fingerprint authentication, and an alcohol-sensitive smart ice cube, and discuss future opportunities.
Dr. Koji Yatani (http://yatani.jp) is an Associate Professor and 2017 UTokyo Excellent Young Researcher at The University of Tokyo, where he leads Interactive Intelligent Systems Laboratory (http://iis-lab.org). His main research interests lie in Human-Computer Interaction (HCI) and ubiquitous computing. His current research emphasis lies in development and evaluations of biometrics security systems with concurrent physiological sensing; productivity/creativity support; and assistive technology design for social activities. He received multiple Best Papers and Honorable Mention Awards at CHI and MobileHCI. He also contributed to major international conferences in the field of HCI and ubiquitous computing, including CHI, UbiComp, UIST, and MobiSys, as a senior conference and/or program committee member. He currently serves as an Editor for Proceedings of ACM Interactive, Mobile, Wearable and Ubiquitous Technology (PACM IMWUT), an Associate Editor for ACM Transactions on Computer-Human Interaction (TOCHI), and as a Vice chair for Japan ACM SIGCHI Chapter.
10:00 – 10:30 Coffee Break
10:30 – 12:00 Session 1: Wellness and Digital Health
1.1 Heart Rate Estimation Algorithm From Wrist-based Photoplethysmogram Using Subspace Learning Method
Nasimuddin Ahmed (Tata Consultancy Service, India); Shalini Mukhopadhyay (Tata Consultacy Service, India); Varsha Sharma (TCS Research & Innovation, India); Avik Ghose (Tata Consultancy Services, India)
1.2 Design and Assessment of Myoelectric Games for Prosthesis Training of Upper Limb Amputees
Meeralakshmi Radhakrishnan (Singapore Management University, Singapore); Asim Smailagic, Brian French and Daniel Siewiorek (Carnegie Mellon University, USA); Rajesh K Balan (Singapore Management University, Singapore)
1.3 On-site Personal Sport Skill Improvement Support Using only a Smartwatch
Guillaume Lopez, Shohei Abe, Kengo Hashimoto and Anna Yokokubo (Aoyama Gakuin University, Japan)
1.4 Dynamic Offset Correction for Smartphone Thermal Cameras Using a Wristband Sensor
Hiroki Yoshikawa, Akira Uchiyama and Teruo Higashino (Osaka University, Japan)
12:00 – 13:30 Lunch break
13:30 – 15:00 Session 2: Novel Applications
2.1 Strikes-Thrusts Activity Recognition Using Wrist Sensor Towards Pervasive Kendo Support System
Yugo Nakamura, Yohei Torigoe, Manato Fujimoto and Masashi Takata (Nara Institute of Science and Technology, Japan); Yutaka Arakawa (Nara Institute of Science and Technology & NAIST, Japan); Keiichi Yasumoto (Nara Institute of Science and Technology, Japan)
2.2 Gesture-based incident reporting through smart watches
Panagiotis Kasnesis (National Technical University of Athens, Greece); Christos Chatzigeorgiou (Piraeus University of Applied Science, Greece); Lazaros Toumanidis (University of West Attica, Greece); Charalampos Z Patrikakis (Piraeus University of Applied Sciences (TEI of Piraeus) & COmputer Networks & SErvices Research Team (CONSERT), Greece)
2.3 Touch Sensing on the Forearm Using the Electrical Impedance Method
Yutaro Suzuki, Kodai Sekimori, Buntarou Shizuki and Shin Takahashi (University of Tsukuba, Japan)
2.4 Wrist-Worn Capacitive Sensor for Activity and Physical Collaboration Recognition
Sizhen Bian (German Research Center for Artificial Intelligence, Germany); Vitor F Rey (Deutsches Forschungszentrum für Künstliche Intelligenz & University of Kaiserslautern, Germany); Junaid Younas (Technical University Kaiserslautern, Germany); Paul Lukowicz (DFKI and University of Kaiserslautern, Germany)
15:00 – 15:30 Coffee break
15:30 – 17:00 Session 3: Data Collection Framework / Panel Discussion
3.1 Scaling-out Longitudinal Clinical Analytics with Dataflow Processing
Joan Saez Pons, Cosmin Stamate and David Weston (Birkbeck College, United Kingdom (Great Britain)); George Roussos (Birkbeck College, University of London, United Kingdom (Great Britain))
3.2 Panel Discussion: How to Establish Objective Gold Standard Measurements for Health Constructs.
Due to participants' increased willingness to wear wrist-worn sensors, the wrist remains a major contender for tackling problems related to health and medicine. Currently physical and sedentary activity are the only constructs with acceptable gold standard passive sensing measures (e.g. Actigraph measuring MVPA and Actipal measuring types of sedentary activity). We aim to continue the discussion to change that. WristSense 2018 comprised of panelists Dr. Claudio Bettini (University of Milan, Italy), Dr. Adam Haim (NIMH - USA), and Dr. Andreas Lymberis (European Commission - Belgium). Due to the interest in the topic, we plan to continue the panel in 2019. We are putting together a unique panel discussion comprising of key individuals across academia, industry and government agencies surrounding "Defining Objective Gold Standard Measures for Health Outcomes". Our goal is to engage the research community in this important discussion, and perhaps identify a vision moving forward for technologist, behaviorist, engineers, and mHealth specialist.
Expert Panelists: TBA
17:00 – 17:15 Awards and Closing Remarks