Analysis of performance between kinect v1 and kinect v2 for various facial part movements
The aim of this study is to determine the suitable version of Kinect motion sensor for developing facial therapy or exercise throughout the analysis of face tracking performance. A face tracking system is developed in both version of Kinect cameras by referring to the respective version of Kinect SD...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/29730/1/Analysis%20of%20performance%20between%20kinect%20v1%20and%20kinect%20v2%20.pdf |
| _version_ | 1796994300216606720 |
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| author | Heng, Sheng Guang Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi |
| author_facet | Heng, Sheng Guang Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi |
| author_sort | Heng, Sheng Guang |
| collection | UMP |
| description | The aim of this study is to determine the suitable version of Kinect motion sensor for developing facial therapy or exercise throughout the analysis of face tracking performance. A face tracking system is developed in both version of Kinect cameras by referring to the respective version of Kinect SDK. The created face tracking algorithms are then modified to display the detected facial points which are 121 points and 1347 points in total for Kinect v1 and Kinect v2 respectively. A total number of 18 desired facial feature point at similar landmarks will be extracted in the format of 3D coordinates for both Kinect cameras. To investigate the changes in the movement of facial feature points, the points will be paired up for distance ratio calculation between different frames of face image. The action unit of facial points for both Kinect cameras are different and there are some improvements in Kinect v2: asymmetrical facial points, high definition face detection and eye tracking as added action units. However, it shows poor detection in outer eyebrow part compared to Kinect v1. In overall, the Kinect v2 has better performance than Kinect v1 as it provides faster response speed and more detailed facial points movement detection in real-time operation for rehabilitation purposes. |
| first_indexed | 2024-03-06T12:45:56Z |
| format | Conference or Workshop Item |
| id | UMPir29730 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:45:56Z |
| publishDate | 2019 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir297302020-11-19T01:25:47Z http://umpir.ump.edu.my/id/eprint/29730/ Analysis of performance between kinect v1 and kinect v2 for various facial part movements Heng, Sheng Guang Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering The aim of this study is to determine the suitable version of Kinect motion sensor for developing facial therapy or exercise throughout the analysis of face tracking performance. A face tracking system is developed in both version of Kinect cameras by referring to the respective version of Kinect SDK. The created face tracking algorithms are then modified to display the detected facial points which are 121 points and 1347 points in total for Kinect v1 and Kinect v2 respectively. A total number of 18 desired facial feature point at similar landmarks will be extracted in the format of 3D coordinates for both Kinect cameras. To investigate the changes in the movement of facial feature points, the points will be paired up for distance ratio calculation between different frames of face image. The action unit of facial points for both Kinect cameras are different and there are some improvements in Kinect v2: asymmetrical facial points, high definition face detection and eye tracking as added action units. However, it shows poor detection in outer eyebrow part compared to Kinect v1. In overall, the Kinect v2 has better performance than Kinect v1 as it provides faster response speed and more detailed facial points movement detection in real-time operation for rehabilitation purposes. IEEE 2019-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29730/1/Analysis%20of%20performance%20between%20kinect%20v1%20and%20kinect%20v2%20.pdf Heng, Sheng Guang and Rosdiyana, Samad and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah and Pebrianti, Dwi (2019) Analysis of performance between kinect v1 and kinect v2 for various facial part movements. In: 9th IEEE International Conference on System Engineering and Technology, ICSET 2019 , 7 October 2019 , Shah Alam, Malaysia. pp. 17-22. (8906419). ISSN 2470-640X ISBN 9781728107585 https://doi.org/10.1109/ICSEngT.2019.8906419 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Heng, Sheng Guang Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi Analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| title | Analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| title_full | Analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| title_fullStr | Analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| title_full_unstemmed | Analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| title_short | Analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| title_sort | analysis of performance between kinect v1 and kinect v2 for various facial part movements |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/29730/1/Analysis%20of%20performance%20between%20kinect%20v1%20and%20kinect%20v2%20.pdf |
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