IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Multimodality Sensors for Sleep Quality Monitoring and Logging
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Tools for protecting the privacy of specific individuals in video
EURASIP Journal on Applied Signal Processing
Notification of dangerous situation for elderly people using visual cues
Proceedings of the 13th international conference on Intelligent user interfaces
Smartness of Pervasive Computing Systems through Context-Awareness
NEW2AN '08 / ruSMART '08 Proceedings of the 8th international conference, NEW2AN and 1st Russian Conference on Smart Spaces, ruSMART on Next Generation Teletraffic and Wired/Wireless Advanced Networking
An Architecture to Combine Context Awareness and Body Sensor Networks for Health Care Applications
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
Multisensor Fusion for Monitoring Elderly Activities at Home
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
ISPAN '09 Proceedings of the 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring
IEEE Transactions on Circuits and Systems for Video Technology
Human-centric situational awareness in the bedroom
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
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Long term eldercare is often labor intensive. This paper addresses a multimodal sensing approach to situation awareness for elderly care using video and force sensitive resistor (FSR) sensor map. For elderly people, especially those with limited mobility, it is useful to keep care givers or family members known of their situations that may lead to abnormal patterns such as repeated action (get up and sit down) or hazardous result such as a falling from bed. By using multimodal sensing with video camera and FSR sensor, the situation awareness algorithm is proposed to detect and track human activities. Experiments have shown the effectiveness of the detection of primary situations for elderly care.