MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers
Human-computer interaction (HCI) and virtual reality applications pose the challenge of enabling real-time interfaces for natural interaction. Gesture recognition based on body-mounted accelerometers has been proposed as a viable solution to translate patterns of movements that are associated with u...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2007-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2007/82638 |
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| _version_ | 1849305626579042304 |
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| author | Elisabetta Farella Luca Benini Bruno Riccò Andrea Acquaviva |
| author_facet | Elisabetta Farella Luca Benini Bruno Riccò Andrea Acquaviva |
| author_sort | Elisabetta Farella |
| collection | DOAJ |
| description | Human-computer interaction (HCI) and virtual reality applications pose the challenge of enabling real-time interfaces for natural interaction. Gesture recognition based on body-mounted accelerometers has been proposed as a viable solution to translate patterns of movements that are associated with user commands, thus substituting point-and-click methods or other cumbersome input devices. On the other hand, cost and power constraints make the implementation of a natural and efficient interface suitable for consumer applications a critical task. Even though several gesture recognition solutions exist, their use in HCI context has been poorly characterized. For this reason, in this paper, we consider a low-cost/low-power wearable motion tracking system based on integrated accelerometers called motion capture with accelerometers (MOCA) that we evaluated for navigation in virtual spaces. Recognition is based on a geometric algorithm that enables efficient and robust detection of rotational movements. Our objective is to demonstrate that such a low-cost and a low-power implementation is suitable for HCI applications. To this purpose, we characterized the system from both a quantitative point of view and a qualitative point of view. First, we performed static and dynamic assessment of movement recognition accuracy. Second, we evaluated the effectiveness of user experience using a 3D game application as a test bed. |
| format | Article |
| id | doaj-art-06930ba2db1f4965bf38312667bc12f1 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2007-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-06930ba2db1f4965bf38312667bc12f12025-08-20T03:55:23ZengWileyAdvances in Multimedia1687-56801687-56992007-01-01200710.1155/2007/8263882638MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated AccelerometersElisabetta Farella0Luca Benini1Bruno Riccò2Andrea Acquaviva3Dipartimento di Elettronica, Informatica e Sistemistica (DEIS), Universitá di Bologna, Viale Risorgimento 2, Bologna 40136, ItalyDipartimento di Elettronica, Informatica e Sistemistica (DEIS), Universitá di Bologna, Viale Risorgimento 2, Bologna 40136, ItalyDipartimento di Elettronica, Informatica e Sistemistica (DEIS), Universitá di Bologna, Viale Risorgimento 2, Bologna 40136, ItalyInformation Science and Technology Institute (ISTI), University of Urbino, Piazza Repubblica 13, Urbino 61029, ItalyHuman-computer interaction (HCI) and virtual reality applications pose the challenge of enabling real-time interfaces for natural interaction. Gesture recognition based on body-mounted accelerometers has been proposed as a viable solution to translate patterns of movements that are associated with user commands, thus substituting point-and-click methods or other cumbersome input devices. On the other hand, cost and power constraints make the implementation of a natural and efficient interface suitable for consumer applications a critical task. Even though several gesture recognition solutions exist, their use in HCI context has been poorly characterized. For this reason, in this paper, we consider a low-cost/low-power wearable motion tracking system based on integrated accelerometers called motion capture with accelerometers (MOCA) that we evaluated for navigation in virtual spaces. Recognition is based on a geometric algorithm that enables efficient and robust detection of rotational movements. Our objective is to demonstrate that such a low-cost and a low-power implementation is suitable for HCI applications. To this purpose, we characterized the system from both a quantitative point of view and a qualitative point of view. First, we performed static and dynamic assessment of movement recognition accuracy. Second, we evaluated the effectiveness of user experience using a 3D game application as a test bed.http://dx.doi.org/10.1155/2007/82638 |
| spellingShingle | Elisabetta Farella Luca Benini Bruno Riccò Andrea Acquaviva MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers Advances in Multimedia |
| title | MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers |
| title_full | MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers |
| title_fullStr | MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers |
| title_full_unstemmed | MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers |
| title_short | MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers |
| title_sort | moca a low power low cost motion capture system based on integrated accelerometers |
| url | http://dx.doi.org/10.1155/2007/82638 |
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