iCalm: wearable sensor and network architecture for wirelessly communicating and logging autonomic activity

Authors:
Richard Ribon Fletcher;Kelly Dobson;Matthew S. Goodwin;Hoda Eydgahi;Oliver Wilder-Smith;David Fernholz;Yuta Kuboyama;Elliott Bruce Hedman;Ming-Zher Poh;Rosalind W. Picard
Affiliations:
Massachusetts Institute of Technology, Cambridge, MA;Rhode Island School of Design, Providence, RI;Massachusetts Institute of Technology Media Laboratory, Cambridge, MA and Groden Center, Providence, RI;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA and Affectiva, Inc., Waltham, MA and Harvard University, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA
Venue:
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Year:
2010

Citing 1
Cited 8

The handwave bluetooth skin conductance sensor

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction

Mobile emotional intelligence

Proceedings of the 8th international conference on Mobile systems, applications, and services
Area-based photo-plethysmographic sensing method for the surfaces of handheld devices

Proceedings of the 24th annual ACM symposium on User interface software and technology
Resource-efficient and reliable long term wireless monitoring of the photoplethysmographic signal

Proceedings of the 2nd Conference on Wireless Health
Remote coaching system for runner's form with wearable wireless sensor

International Journal of Mobile Learning and Organisation
Using active learning to allow activity recognition on a large scale

AmI'11 Proceedings of the Second international conference on Ambient Intelligence
A wearable kids' health monitoring system on smartphone

Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
Hybrid intelligent methods for arrhythmia detection and geriatric depression diagnosis

Applied Soft Computing
Accountability and Q-Accountable Logging in Wireless Networks

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Widespread use of affective sensing in healthcare applications has been limited due to several practical factors, such as lack of comfortable wearable sensors, lack of wireless standards, and lack of low-power affordable hardware. In this paper, we present a new low-cost, low-power wireless sensor platform implemented using the IEEE 802.15.4 wireless standard, and describe the design of compact wearable sensors for long-term measurement of electrodermal activity, temperature, motor activity, and photo-plethysmography. We also illustrate the use of this new technology for continuous long-term monitoring of autonomic nervous system and motion data from active infants, children, and adults. We describe several new applications enabled by this system, discuss two specific wearable designs for the wrist and foot, and present sample data.