A platform for wearable physiological computing

Abstract As computers emerge, from the desktop and palm top, into everyday life, and on to our bodies there are opportunities to aggregate and present data and to realize and envision applications that have never before been possible. Tracking the physiological state of individuals, at resolutions measured in thousandths of a second instead of in visits per year, now makes it possible to ascertain caloric intake and expenditure, patterns of sleep, contextual activities such as working-out and driving, even parameters of mental state and health. An award wining multi-channel wearable physiological sensor has enabled the collection of data in natural settings from thousands of subjects engaged in diverse activities. The resulting corpus of physiological data from 4 years of aggregation has yielded over 30 million minutes of physiological data. Data modeling efforts are resulting in applications that enable real-time presentation of meaningful and actionable information to users and their designated collaborators (physicians, family members, counselors, coaches, etc.) The SenseWear system, its design and a summery of the experimental results and ongoing research initiatives will be presented. This discussion will show how the design and research efforts of ubiquitous, pervasive, and collaborative computing are converging to manifest the future of computing as: wearable, personal, and sympathetic.

[1]  R. Winett,et al.  Using Internet technology to deliver a behavioral weight loss program. , 2001, JAMA.

[2]  Christine L. Lisetti,et al.  Emotion recognition from physiological signals using wireless sensors for presence technologies , 2004, Cognition, Technology & Work.

[3]  Mark Weiser,et al.  Some computer science issues in ubiquitous computing , 1993, CACM.

[4]  Jodi Forlizzi,et al.  Case study: user research to inform the design and development of integrated wearable computers and web-based services , 2000, DIS '00.

[5]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[6]  Julie Khaslavsky,et al.  Understanding the seductive experience , 1999, CACM.

[7]  John M. Jakicic,et al.  THE ACCURACY OF THE TRITRAC-R3D ACCELEROMETER TO ESTIMATE ENERGY EXPENDITURE DURING VARIOUS MODES OF PHYSICAL ACTIVITY , 1998 .

[8]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[9]  Richard Martin,et al.  Design for wearability , 1998, Digest of Papers. Second International Symposium on Wearable Computers (Cat. No.98EX215).

[10]  David Andre.  Why The Upper Arm ? Factors Contributing to the Design of an Accurate and Comfortable , Wearable Body Monitor , 2002 .

[11]  J M Jakicic,et al.  The accuracy of the TriTrac-R3D accelerometer to estimate energy expenditure. , 1999, Medicine and science in sports and exercise.

[12]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.

[13]  Sverre Grimnes,et al.  Bioimpedance and Bioelectricity Basics , 2000 .

[14]  Fatma Nasoz,et al.  Emotion Recognition from Physiological Signals for Presence Technologies , 2004 .

[15]  M. Musen,et al.  Handbook of Medical Informatics , 2002 .