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VCIP
2003

Object and event recognition for stroke rehabilitation

8 years 6 months ago
Object and event recognition for stroke rehabilitation
Stroke is a major cause of disability and health care expenditure around the world. Existing stroke rehabilitation methods can be effective but are costly and need to be improved. Even modest improvements in the effectiveness of rehabilitation techniques could produce large benefits in terms of quality of life. The work reported here is part of an ongoing effort to integrate virtual reality and machine vision technologies to produce innovative stroke rehabilitation methods. We describe a combined object recognition and event detection system that provides real time feedback to stroke patients performing everyday kitchen tasks necessary for independent living, e.g. making a cup of coffee. The image plane position of each object, including the patient’s hand, is monitored using histogram-based recognition methods. The relative positions of hand and objects are then reported to a task monitor that compares the patient’s actions against a model of the target task. A prototype system h...
Ahmed Ghali, Andrew S. Cunningham, Tony P. Pridmor
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where VCIP
Authors Ahmed Ghali, Andrew S. Cunningham, Tony P. Pridmore
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