Research output per year
Research output per year
Sagda E. K. Osman, Guy C. Hembroff, Marcos Almeida Matos
Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
The Microsoft Kinect has gained wide popularity in health-related applications due to its low-cost, portability and ability to detect and track multiple body joints. Nevertheless, studies showed that the Kinect manifested inaccuracy when tracking the joints of the lower body, especially in non-ideal tracking conditions. In this work, a new algorithm was proposed for rectifying this tracking problem. As a proof of concept, the proposed algorithm was implemented only for the ankle joint because its readings contained the noisiest return values when compared to other joints. The proposed algorithm was used for inferring the joint's position in the 3D space. We were able to infer the ankle joint's position using the subject's gait pattern as expressed by the lower joints' angles and geometric relationships between these joints.
Original language | English |
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Title of host publication | Proceedings - 2018 IEEE International Conference on Healthcare Informatics |
Subtitle of host publication | ICHI 2018 |
Place of Publication | Los Alamitos, California |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 307-312 |
Number of pages | 6 |
ISBN (Electronic) | 9781538653777 |
ISBN (Print) | 9781538653784 |
DOIs | |
Publication status | Published - 24 Jul 2018 |
Externally published | Yes |
Event | 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States Duration: 4 Jun 2018 → 7 Jun 2018 |
Conference | 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 |
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Country/Territory | United States |
City | New York |
Period | 4/06/18 → 7/06/18 |
Research output: Thesis › Master (Research) Thesis