@inproceedings{0b58264123f145faa5c7a4ea3d4e73eb,
title = "SmartGlove for Upper Extremities Rehabilitative Gaming Assessment",
abstract = "This paper presents a quantitative assessment solution for an upper extremities rehabilitative gaming application [1]. This assessment solution consists of a set of stand-alone hardware, including SmartGlove and Kinect, a depth capturing sensor made by Microsoft. SmartGlove is a specially designed motion and finger angle extraction device which is packaged in an easy-to-wear and adjustable manner for a patient with an upper extremity impairment. Sensor data extraction, alignment, and visualization algorithms were designed for integrating hand-mounted sensors data streams into skeleton coordinates captured by the Kinect. This enhanced skeleton information can be summarized and replayed as upper extremity joint coordinate animations which can be used for physical therapists to quantify rehabilitation progress. In addition, to serve as an assessment tool, enhanced skeleton information can be used to extend the capability of the Kinect vision system, such as providing motion capture of the upper extremities, even when the testing subject is out of camera scope or one's upper extremities are occluded by the body.",
keywords = "Animation, Data glove, Kinect, Rehabilitation, Upper extremities, Upper limbs, Video game",
author = "Ming-Chun Huang and Wenyao Xu and Yi Su and Belinda Lange and Chien-Yen Chang and Majid Sarrafzadeh",
year = "2012",
month = jun,
doi = "10.1145/2413097.2413122",
language = "English",
isbn = "9781450313001",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "1--4",
booktitle = "PETRA '12",
note = "5th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2012 ; Conference date: 06-06-2012 Through 08-06-2012",
}