Patients recovering from abdominal surgery are at risk of complications due to reduced mobility as a result of post-operative pain. The ability to pervasively monitor the recovery...
Omer Aziz, Benny P. L. Lo, Guang-Zhong Yang, Rache...
We have developed a collection of portable platforms to enable context-aware applications to help users with their personal fitness. Our approach has been to focus on established ...
Gaetano Borriello, Waylon Brunette, Jonathan Leste...
We describe the design of a compact, wireless sensor module meant to capture expressive gestures in real-time when worn at the hands and feet of a dancer. Each sensor node include...
Ryan Aylward, S. Daniel Lovell, Joseph A. Paradiso
We demonstrate that simple, unobtrusive sensors attached to the lower arm can be used to capture muscle activations during specific hand and arm activities such as grasping. Spec...
Context-aware sensing is an integral part of the Body Sensor Network (BSN) design and it allows the understanding of intrinsic characteristics of the sensed signal and determinati...
Surapa Thiemjarus, Benny P. L. Lo, Guang-Zhong Yan...
To accurately capture clinically relevant episodes with Body Sensor Networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual informa...
Eco is a self-contained, ultra-wearable and expandable wireless sensor platform under 1cm3. Previous platforms make trade-offs between size or expandability. Eco achieves both wit...
For small, inexpensive, ubiquitous wireless sensors to be realized, all constituents of the device, including the power source, must be directly integratable. For long term applic...
Elizabeth K. Reilly, Eric Carleton, Paul K. Wright
In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...