Title :
Movement awareness for a sentient environment
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
This paper describes a system that can observe, recognise and analyse human movements, to provide this awareness to context-aware applications. The movement recognition and characterisation components of this sentient system are described in detail. The system uses the ground reaction force to classify and analyse movements in a non-clinical environment. The signal is classified using statistical pattern recognition. Equipped with knowledge of the movement, characterisation is the process of analysing the ground reaction force to extract parameters of the movement. The components of the movement awareness system operate in a distributed computing environment.
Keywords :
distributed object management; image classification; image motion analysis; middleware; ubiquitous computing; context-aware applications; distributed computing environment; ground reaction force; human movement analysis; human movement recognition; movement awareness; nonclinical environment; sentient environment; signal classification; statistical pattern recognition; Application software; Character recognition; Clinical diagnosis; Context awareness; Distributed computing; Force measurement; Force sensors; Hidden Markov models; Laboratories; Space technology;
Conference_Titel :
Pervasive Computing and Communications, 2003. (PerCom 2003). Proceedings of the First IEEE International Conference on
Conference_Location :
Fort Worth, TX
Print_ISBN :
0-7695-1893-1
DOI :
10.1109/PERCOM.2003.1192731
