This paper is published in Volume-6, Issue-5, 2020
Area
Computer Science
Author
Dhruv Agarwal
Co-authors
Donna Thomas
Org/Univ
Vellore Institute of Technology, Vellore, Tamil Nadu, India
Pub. Date
19 September, 2020
Paper ID
V6I5-1192
Publisher
Keywords
Human Posture Recognition, RGB-D camera, Depth Map, Skeleton Data, Heat Map

Citationsacebook

IEEE
Dhruv Agarwal, Donna Thomas. Posture and Activity Analysis for Patients in Rehabilitation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dhruv Agarwal, Donna Thomas (2020). Posture and Activity Analysis for Patients in Rehabilitation. International Journal of Advance Research, Ideas and Innovations in Technology, 6(5) www.IJARIIT.com.

MLA
Dhruv Agarwal, Donna Thomas. "Posture and Activity Analysis for Patients in Rehabilitation." International Journal of Advance Research, Ideas and Innovations in Technology 6.5 (2020). www.IJARIIT.com.

Abstract

Recognizing the patient's posture and physical actions is the key focus on their rehabilitation to restore or enhance the functional and motor abilities of those with physical disabilities. In this paper; we focus on the gross motor skills in adults who are in rehabilitation from an injury and will present a method for recognizing their posture and activities using a sequence of RGB-D images. The shape features are extracted using the depth information in the frequency domain via spherical harmonics representation.
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