A tight analysis of the greedy algorithm for set cover
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
A dual-space approach to tracking and sensor management in wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
MIThril 2003: Applications and Architecture
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Call and response: experiments in sampling the environment
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
Sensor Networks for Emergency Response: Challenges and Opportunities
IEEE Pervasive Computing
Inferring definite-clause grammars to express multivariate time series
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
SATIRE: a software architecture for smart AtTIRE
Proceedings of the 4th international conference on Mobile systems, applications and services
Combining body sensors and visual sensors for motion training
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
Human Walking Motion Synthesis with Desired Pace and Stride Length Based on HSMM
IEICE - Transactions on Information and Systems
Lucid dreaming: reliable analog event detection for energy-constrained applications
Proceedings of the 6th international conference on Information processing in sensor networks
A compact, high-speed, wearable sensor network for biomotion capture and interactive media
Proceedings of the 6th international conference on Information processing in sensor networks
Critical-Path based Low-Energy Scheduling Algorithms for Body Area Network Systems
RTCSA '07 Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Proceedings of the 5th international conference on Embedded networked sensor systems
Catching elephants with mice: sparse sampling for monitoring sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Platform Design for Health-Care Monitoring Applications
HCMDSS-MDPNP '07 Proceedings of the 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability
MEDIC: Medical embedded device for individualized care
Artificial Intelligence in Medicine
Action coverage formulation for power optimization in body sensor networks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
A Wireless Sensor Network for Real-Time Indoor Localisation and Motion Monitoring
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
The Mobile Sensing Platform: An Embedded Activity Recognition System
IEEE Pervasive Computing
Energy comparison and optimization of wireless body-area network technologies
Proceedings of the ICST 2nd international conference on Body area networks
Gestures are strings: efficient online gesture spotting and classification using string matching
Proceedings of the ICST 2nd international conference on Body area networks
The SmartCane system: an assistive device for geriatrics
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Ubiquitous personal assistive system for neuropathy
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Human activity recognition with action primitives
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Event-triggered distributed optimization in sensor networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Mercury: a wearable sensor network platform for high-fidelity motion analysis
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Measuring foot pronation using RFID sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
A human probe for measuring walkability
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Transmission power control in body area sensor networks for healthcare monitoring
IEEE Journal on Selected Areas in Communications - Special issue on body area networking: Technology and applications
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
A survey on wearable sensor-based systems for health monitoring and prognosis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Action recognition using motion primitives and probabilistic edit distance
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Gait Analysis Using a Shoe-Integrated Wireless Sensor System
IEEE Transactions on Information Technology in Biomedicine
Hi-index | 0.00 |
Wearable sensing systems have recently enabled a variety of medical monitoring and diagnostic applications in wireless health. The need for multiple sensors and constant monitoring leads these systems to be power hungry and expensive with short operating lifetimes. We introduce a novel methodology that takes advantage of contextual and semantic properties in human behavior to enable efficient design and optimization of such systems from the data and information point of view. This, in turn, directly influences the wireless communication and local processing power consumption. We exploit intrinsic space and temporal correlations between sensor data while considering both user and system contextual behavior. Our goal is to select a small subset of sensors that accurately capture and/or predict all possible signals of a fully instrumented wearable sensing system. Our approach leverages novel modeling, partitioning, and behavioral optimization, which consists of signal characterization, segmentation and time shifting, mutual signal prediction, and a simultaneous minimization composed of subset sensor selection and opportunistic sampling. We demonstrate the effectiveness of the technique on an insole instrumented with 99 pressure sensors placed in each shoe, which cover the bottom of the entire foot, resulting in energy reduction of 72% to 97% for error rates of 5% to 17.5%.