Human gait identification using Kinect sensor
This study investigates a novel three-dimension gait recognition approach based on skeleton representation of motion by the cheap consumer level camera Kinect sensor. In this work, a new exemplification of human gait signature is proposed using the spatio-temporal variations in relative angles among...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sulaimani Polytechnic University
2017-08-01
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| Series: | Kurdistan Journal of Applied Research |
| Subjects: | |
| Online Access: | http://kjar.spu.edu.iq/index.php/kjar/article/view/106 |
| _version_ | 1811212773293555712 |
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| author | Azhin Tahir Sabir Mohammed H. Ahmed Abdulbasit K. Faeq Halgurd S. Maghdid |
| author_facet | Azhin Tahir Sabir Mohammed H. Ahmed Abdulbasit K. Faeq Halgurd S. Maghdid |
| author_sort | Azhin Tahir Sabir |
| collection | DOAJ |
| description | This study investigates a novel three-dimension gait recognition approach based on skeleton representation of motion by the cheap consumer level camera Kinect sensor. In this work, a new exemplification of human gait signature is proposed using the spatio-temporal variations in relative angles among various skeletal joints and changing of measured distance between limbs and land. These measurements are computed during one gait cycle. Further, we have created our own dataset based on Kinect sensor and extract two sets of dynamic features. Nearest Neighbors and Linear Discriminant Classifier (LDC) are used for classification. The results of the experiments show the proposed approach as an effective and human gait recognizer in comparison with current Kinect-based gait recognition methods. |
| first_indexed | 2024-04-12T05:36:04Z |
| format | Article |
| id | doaj.art-c52f262fb3ba4ef1bdd47b7ab7ef8988 |
| institution | Directory Open Access Journal |
| issn | 2411-7684 2411-7706 |
| language | English |
| last_indexed | 2024-04-12T05:36:04Z |
| publishDate | 2017-08-01 |
| publisher | Sulaimani Polytechnic University |
| record_format | Article |
| series | Kurdistan Journal of Applied Research |
| spelling | doaj.art-c52f262fb3ba4ef1bdd47b7ab7ef89882022-12-22T03:45:53ZengSulaimani Polytechnic UniversityKurdistan Journal of Applied Research2411-76842411-77062017-08-012314214610.24017/science.2017.3.37106Human gait identification using Kinect sensorAzhin Tahir Sabir0Mohammed H. Ahmed1Abdulbasit K. Faeq2Halgurd S. Maghdid3Department of Software Engineering, FENG, Koya University, Koya, IraqDepartment of Computer Science, University of Raparin Ranyah ,Sulaimanyah Kurdistan Region of IraqDepartment of Software Engineering, FENG, Koya University, Koya, IraqDepartment of Software Engineering, FENG, Koya University, Koya, IraqThis study investigates a novel three-dimension gait recognition approach based on skeleton representation of motion by the cheap consumer level camera Kinect sensor. In this work, a new exemplification of human gait signature is proposed using the spatio-temporal variations in relative angles among various skeletal joints and changing of measured distance between limbs and land. These measurements are computed during one gait cycle. Further, we have created our own dataset based on Kinect sensor and extract two sets of dynamic features. Nearest Neighbors and Linear Discriminant Classifier (LDC) are used for classification. The results of the experiments show the proposed approach as an effective and human gait recognizer in comparison with current Kinect-based gait recognition methods.http://kjar.spu.edu.iq/index.php/kjar/article/view/106Gait recognition, Kinect, Angle Features (AF), Distance Feature (DF), motion analysis. |
| spellingShingle | Azhin Tahir Sabir Mohammed H. Ahmed Abdulbasit K. Faeq Halgurd S. Maghdid Human gait identification using Kinect sensor Kurdistan Journal of Applied Research Gait recognition, Kinect, Angle Features (AF), Distance Feature (DF), motion analysis. |
| title | Human gait identification using Kinect sensor |
| title_full | Human gait identification using Kinect sensor |
| title_fullStr | Human gait identification using Kinect sensor |
| title_full_unstemmed | Human gait identification using Kinect sensor |
| title_short | Human gait identification using Kinect sensor |
| title_sort | human gait identification using kinect sensor |
| topic | Gait recognition, Kinect, Angle Features (AF), Distance Feature (DF), motion analysis. |
| url | http://kjar.spu.edu.iq/index.php/kjar/article/view/106 |
| work_keys_str_mv | AT azhintahirsabir humangaitidentificationusingkinectsensor AT mohammedhahmed humangaitidentificationusingkinectsensor AT abdulbasitkfaeq humangaitidentificationusingkinectsensor AT halgurdsmaghdid humangaitidentificationusingkinectsensor |