Authors:
Giuseppe Placidi
1
;
Luigi Cinque
2
;
Andrea Petracca
1
;
Matteo Polsinelli
1
and
Matteo Spezialetti
1
Affiliations:
1
University of L'Aquila, Italy
;
2
Sapienza University, Italy
Keyword(s):
Hand Rehabilitation, Virtual Glove, LEAP Motion Controller.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Object Recognition
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensors and Early Vision
;
Software Engineering
;
Virtual Environments
Abstract:
Hand rehabilitation therapy is fundamental in the recovery process for patients suffering from post-stroke or post-surgery impairments. Traditional approaches require the presence of therapist during the sessions, involving high costs and subjective measurements of the patients’ abilities and progresses. Recently, several alternative approaches have been proposed. Mechanical devices are often expensive, cumbersome and patient specific, while virtual devices are not subject to this limitations, but, especially if based on a single sensor, could suffer from occlusions. In this paper a novel multi-sensor approach, based on the simultaneous use of two LEAP motion controllers, is proposed. The hardware and software design is illustrated and the measurements error induced by the mutual infrared interference is discussed. Finally, a calibration procedure, a tracking model prototype based on the sensors turnover and preliminary experimental results are presented.