Title

Recupera: A home-based post-stroke rehabilitation system using the kinect sensor for active patients

Date of Publication

2013

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Juan Lorenzo Hagad

Defense Panel Member

Merlin Teodisia S Suarez

Rhia Trogo

Abstract/Summary

Rehabilitation process has always been time-consuming, labor-intensive and costly. The research focuses mainly on providing a low-cost home-based rehabilitation program for post-stroke patients with the use of Microsoft Kinect as its skeletal system and analysis of progress of the patient to address regarding time, labor and cost. The full body of the patient will be tracked whether he/she is on a standing or sitting position. All in all, there will be seventeen points will be tracked.

The system will show a set of exercise to the user, and the user has to follow the given exercises for n iterations. It will then measure the angles of the joint to compare to the specified angle of the exercise the system showed. The set of exercises, n iterations, measurements, assessment and progress will be saved to the users profile, which will keep track of his/her overall progress.

Abstract Format

html

Language

English

Accession Number

TU18480

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1v. various foliations : illustrations (some colored) ; 28 cm.

Keywords

Self-actualization (Psychology); Cerebrovascular disease--Patients--Rehabilitation; Stroke Rehabilitation

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