Activity Classification for Interactive Game Interfaces
We present a technique for modeling and recognising human activity from moving light displays using hidden Markov models. We extract a small number of joint angles at each frame to form a feature vector. Continuous hidden Markov models are then trained with the resulting time series, one for each of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2008/751268 |
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| _version_ | 1850120259968696320 |
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| author | John Darby Baihua Li Nick Costen |
| author_facet | John Darby Baihua Li Nick Costen |
| author_sort | John Darby |
| collection | DOAJ |
| description | We present a technique for modeling and recognising human activity from moving light displays using hidden Markov models. We extract a small number of joint angles at each frame to form a feature vector. Continuous hidden Markov models are then trained with the resulting time series, one for each of a variety of human activity, using the Baum-Welch algorithm. Motion classification is then attempted by evaluation of the forward variable for each model using previously unseen test data. Experimental results based on real-world human motion capture data demonstrate the performance of the algorithm and some degree of robustness to data noise and human motion irregularity. This technique has potential applications in activity classification for gesture-based game interfaces and character animation. |
| format | Article |
| id | doaj-art-67b4e0adea1c4ed59a69f5d98cc3b16d |
| institution | OA Journals |
| issn | 1687-7047 1687-7055 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Computer Games Technology |
| spelling | doaj-art-67b4e0adea1c4ed59a69f5d98cc3b16d2025-08-20T02:35:24ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552008-01-01200810.1155/2008/751268751268Activity Classification for Interactive Game InterfacesJohn Darby0Baihua Li1Nick Costen2Department of Computing and Mathematics, The Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, UKDepartment of Computing and Mathematics, The Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, UKDepartment of Computing and Mathematics, The Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, UKWe present a technique for modeling and recognising human activity from moving light displays using hidden Markov models. We extract a small number of joint angles at each frame to form a feature vector. Continuous hidden Markov models are then trained with the resulting time series, one for each of a variety of human activity, using the Baum-Welch algorithm. Motion classification is then attempted by evaluation of the forward variable for each model using previously unseen test data. Experimental results based on real-world human motion capture data demonstrate the performance of the algorithm and some degree of robustness to data noise and human motion irregularity. This technique has potential applications in activity classification for gesture-based game interfaces and character animation.http://dx.doi.org/10.1155/2008/751268 |
| spellingShingle | John Darby Baihua Li Nick Costen Activity Classification for Interactive Game Interfaces International Journal of Computer Games Technology |
| title | Activity Classification for Interactive Game Interfaces |
| title_full | Activity Classification for Interactive Game Interfaces |
| title_fullStr | Activity Classification for Interactive Game Interfaces |
| title_full_unstemmed | Activity Classification for Interactive Game Interfaces |
| title_short | Activity Classification for Interactive Game Interfaces |
| title_sort | activity classification for interactive game interfaces |
| url | http://dx.doi.org/10.1155/2008/751268 |
| work_keys_str_mv | AT johndarby activityclassificationforinteractivegameinterfaces AT baihuali activityclassificationforinteractivegameinterfaces AT nickcosten activityclassificationforinteractivegameinterfaces |