Analysis of performance between kinetic 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 English |
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Institute of Electrical and Electronics Engineers Inc.
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/37537/1/Analysis%20of%20performance%20between%20kinect%20V1%20and%20kinect%20V2%20for%20various%20facial%20part%20movements.pdf http://umpir.ump.edu.my/id/eprint/37537/2/Analysis%20of%20performance%20between%20kinetic%20v1%20and%20Kinect%20v2%20for%20various%20facial%20part%20movements_ABS.pdf |
| _version_ | 1825814949993119744 |
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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 | 2024-03-06T13:06:10Z |
| format | Conference or Workshop Item |
| id | UMPir37537 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:06:10Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir375372023-08-24T01:03:36Z http://umpir.ump.edu.my/id/eprint/37537/ Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements Heng, Sheng Guang Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi T Technology (General) TA Engineering (General). Civil engineering (General) 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. Institute of Electrical and Electronics Engineers Inc. 2019-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37537/1/Analysis%20of%20performance%20between%20kinect%20V1%20and%20kinect%20V2%20for%20various%20facial%20part%20movements.pdf pdf en http://umpir.ump.edu.my/id/eprint/37537/2/Analysis%20of%20performance%20between%20kinetic%20v1%20and%20Kinect%20v2%20for%20various%20facial%20part%20movements_ABS.pdf Heng, Sheng Guang and Rosdiyana, Samad and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah and Pebrianti, Dwi (2019) Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements. In: 2019 IEEE 9th International Conference on System Engineering and Technology, ICSET 2019 - Proceeding , 7 October 2019 , Shah Alam. pp. 17-22. (8906419). ISBN 978-172810758-5 (Published) https://doi.org/10.1109/ICSEngT.2019.8906419 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Heng, Sheng Guang Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements |
| title | Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements |
| title_full | Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements |
| title_fullStr | Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements |
| title_full_unstemmed | Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements |
| title_short | Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements |
| title_sort | analysis of performance between kinetic v1 and kinect v2 for various facial part movements |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/37537/1/Analysis%20of%20performance%20between%20kinect%20V1%20and%20kinect%20V2%20for%20various%20facial%20part%20movements.pdf http://umpir.ump.edu.my/id/eprint/37537/2/Analysis%20of%20performance%20between%20kinetic%20v1%20and%20Kinect%20v2%20for%20various%20facial%20part%20movements_ABS.pdf |
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