Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
The smart floor: a mechanism for natural user identification and tracking
CHI '00 Extended Abstracts on Human Factors in Computing Systems
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
CoBuild '99 Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture
Networked surfaces: a new concept in mobile networking
Mobile Networks and Applications
Movement Awareness for Ubiquitous Game Control
Personal and Ubiquitous Computing
Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
Gaussian Process Person Identifier Based on Simple Floor Sensors
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
Tracking people in indoor environments
ICOST'07 Proceedings of the 5th international conference on Smart homes and health telematics
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This paper presents a novel approach to movement recognition, using the vertical component of a person's Ground Reaction Force (GRF). Typical primitive movements such as taking a step, jumping, drop-landing, sitting down, rising to stand and crouching are decomposed and recognized in terms of the GRF signal observed by a weight sensitive floor. Previous works focused on vision processing for movement recognition. This work provides a new sensor modality for a larger research effort, that of sentient computing, which is concerned with giving computers awareness of their environment and inhabitants.