MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers

Farella, Elisabetta; Benini, Luca; Riccò, Bruno; Acquaviva, Andrea

doi:https://doi.org/10.1155/2007/82638

Advances in Multimedia

On this page

Abstract References Copyright Related Articles

Research Article | Open Access

Volume 2007 | Article ID 082638 | https://doi.org/10.1155/2007/82638

MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers

Elisabetta Farella,¹Luca Benini,¹Bruno Riccò,¹and Andrea Acquaviva²

Academic Editor: Yong Pei

Received05 Sept 2006

Revised18 Jan 2007

Accepted08 Mar 2007

Published22 May 2007

Abstract

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.

References

G. Welch and E. Foxlin, “Motion tracking: no silver bullet, but a respectable arsenal,” IEEE Computer Graphics and Applications, vol. 22, no. 6, pp. 24–38, 2002.
View at: Publisher Site | Google Scholar
A. D. Cheok, K. Ganesh Kumar, and S. Prince, “Micro-accelerometer based hardware interfaces for wearable computer mixed reality applications,” in Proceedings of the 6th IEEE International Symposium on Wearable Computers (ISWC '02), pp. 223–230, Seattle, Wash, USA, October 2002.
View at: Publisher Site | Google Scholar
I. Oakley and S. O'Modhrain, “Tilt to scroll: evaluating a motion based vibrotactile mobile interface,” in Proceedings of the 1st Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC '05), pp. 40–49, Pisa, Italy, March 2005.
View at: Publisher Site | Google Scholar
G. B. I. P. Regenbrecht and M. Billinghurst, “A cable-less interaction device for AR and VR environments,” in Proceedings of the 2nd International Symposium on Mixed Reality (ISMR '01), pp. 151–152, Yokohama, Japan, March 2001.
View at: Google Scholar
V. Tanriverdi and R. J. K. Jacob, “Interacting with eye movements in virtual environments,” in Proceedings of the Conference on Human Factors in Computing Systems ‘The Future is Here’ (CHI '00), pp. 265–272, The Hague, The Netherlands, April 2000.
View at: Google Scholar
R. Headon and R. Curwen, “Movement awareness for ubiquitous game control,” Personal and Ubiquitous Computing, vol. 6, no. 5-6, pp. 407–415, 2002.
View at: Publisher Site | Google Scholar
R. Barbieri, E. Farella, L. Benini, B. Riccò, and A. Acquaviva, “A low-power motion capture system with integrated accelerometers,” in Proceedings of the 1st IEEE Consumer Communications and Networking Conference (CCNC '04), pp. 418–423, Las Vegas, Nev, USA, January 2004.
View at: Google Scholar
A. Wilson and S. Shafer, “XWand: UI for intelligent spaces,” in Proceedings of the New Horizons Conference on Human Factors in Computing Systems (CHI '03), pp. 545–552, ACM Press, Ft. Lauderdale, Fla, USA, April 2003.
View at: Google Scholar
J. Skaloud and K.-P. Schwarz, “Application of inertial technology to underground positioning: the Soudan mine shaft survey,” Zeitschrift für Vermessungswesen, vol. 125, no. 8, pp. 292–299, 2000.
View at: Google Scholar
E. Farella, A. Pieracci, and A. Acquaviva, “Design and implementation of WiMoCA node for a body area wireless sensor network,” in Proceedings of Systems Communications, pp. 342–347, Montreal, Quebec, Canada, August 2005.
View at: Publisher Site | Google Scholar
M. Pantic and L. J. M. Rothkrantz, “Toward an affect-sensitive multimodal human-computer interaction,” Proceedings of the IEEE, vol. 91, no. 9, pp. 1370–1390, 2003.
View at: Publisher Site | Google Scholar
J. K. Perng, B. Fisher, S. Hollar, and K. S. J. Pister, “Acceleration sensing glove (ASG),” in Proceedings of the 3rd International Symposium on Wearable Computers (ISWC '99), pp. 178–180, San Francisco, Calif, USA, October 1999.
View at: Publisher Site | Google Scholar
R. Headon and G. Coulouris, “Supporting gestural input for users on the move,” in Proceedings of the IEE Eurowearable, pp. 107–112, Birmingham, UK, September 2003.
View at: Google Scholar
R. W. Hogg, A. L. Rankin, S. I. Roumeliotis et al., “Algorithms and sensors for small robot path following,” in Proceedings of IEEE International Conference on Robotics and Automation (ICRA '02), vol. 4, pp. 3850–3857, Washington, DC, USA, May 2002.
View at: Publisher Site | Google Scholar
W. Ponweiser, M. Ayromlou, M. Vincze, C. Beltran, O. Madsen, and A. Gasteratos, “RobVision: vision based navigation for mobile robots,” in Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI '01), pp. 109–114, Baden-Baden, Germany, August 2001.
View at: Publisher Site | Google Scholar
C. Tarin, H. Brugger, R. Moscardo, B. Tibken, and E. P. Hofer, “Low level sensor fusion for autonomous mobile robot navigation,” in Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (IMTC '99), vol. 3, pp. 1377–1382, Venice, Italy, May 1999.
View at: Publisher Site | Google Scholar
P. Lang, A. Kusej, A. Pinz, and G. Brasseur, “Inertial tracking for mobile augmented reality,” in Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IMTC '02), vol. 2, pp. 1583–1587, Anchorage, Alaska, USA, May 2002.
View at: Publisher Site | Google Scholar
M. Ribo, P. Lang, H. Ganster, M. Brandner, C. Stock, and A. Pinz, “Hybrid tracking for outdoor augmented reality applications,” IEEE Computer Graphics and Applications, vol. 22, no. 6, pp. 54–63, 2002.
View at: Publisher Site | Google Scholar
Y. Yokokohji, Y. Sugawara, and T. Yoshikawa, “Accurate image overlay on head-mounted displays using vision and accelerometers,” in Proceedings of IEEE International Conference on Robotics and Automation (ICRA '99), vol. 4, pp. 3243–3248, Detroit, Mich, USA, May 1999.
View at: Publisher Site | Google Scholar
R. Zhu and Z. Zhou, “A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 12, no. 2, pp. 295–302, 2004.
View at: Publisher Site | Google Scholar
A. R. Golding and N. Lesh, “Indoor navigation using a diverse set of cheap, wearable sensors,” in Proceedings of the 3rd International Symposium on Wearable Computers (ISWC '99), pp. 29–36, San Francisco, Calif, USA, October 1999.
View at: Publisher Site | Google Scholar
H. Junker, P. Lukowicz, and G. Troster, “PadNET: wearable physical activity detection network,” in Proceedings of the 7th IEEE International Symposium on Wearable Computers(ISWC '03), pp. 244–245, White Plains, NY, USA, October 2005.
View at: Publisher Site | Google Scholar
T. Harada, H. Uchino, T. Mori, and T. Sato, “Portable orientation estimation device based on accelerometers, magnetometers and gyroscope sensors for sensor network,” in Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI '03), pp. 191–196, Tokyo, Japan, July-August 2003.
View at: Google Scholar
G. M. Lyons, K. M. Culhane, D. Hilton, P. A. Grace, and D. Lyons, “A description of an accelerometer-based mobility monitoring technique,” Medical Engineering and Physics, vol. 27, no. 6, pp. 497–504, 2005.
View at: Publisher Site | Google Scholar
L. Bao and S. S. Intille, “Activity recognition from user-annotated acceleration data,” in Proceedings of the 2nd International Conference on Pervasive Computing (PERVASIVE '04), pp. 1–17, Vienna, Austria, April 2004.
View at: Google Scholar
S. Kurata, M. Makikawa, H. Kobayashi, A. Takahashi, and R. Tokue, “Joint motion monitoring by accelerometers set at both near sides around the joint,” in Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS '98), vol. 4, pp. 1936–1939, Hong Kong, October-November 1998.
View at: Publisher Site | Google Scholar
W.-C. Bang, W. Chang, K.-H. Kang, E.-S. Choi, A. Potanin, and D.-Y. Kim, “Self-contained spatial input device for wearable computers,” in Proceedings of the 7th IEEE International Symposium on Wearable Computers (ISWC '03), pp. 26–34, White Plains, NY, USA, October 2003, http://www.measurand.com/.
View at: Google Scholar
C. Park, J. Liu, and P. H. Chou, “Eco: an ultra-compact low-power wireless sensor node for real-time motion monitoring,” in Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN '05), pp. 398–403, Los Angeles, Calif, USA, April 2005.
View at: Publisher Site | Google Scholar
http://www.intersense.com/.
http://www.xsens.com/.
http://www.sgi.com/.
A. Paiva, R. Prada, R. Chaves et al., “Towards tangibility in gameplay: building a tangible affective interface for a computer game,” in Proceedings of the 5th International Conference on Multimodal Interfaces (ICMI '03), pp. 60–67, ACM Press, Vancouver, BC, Canada, November 2003.
View at: Google Scholar
J. Lee and I. Ha, “Sensor fusion and calibration for motion captures using accelerometers,” in Proceedings of IEEE International Conference on Robotics and Automation (ICRA '99), vol. 3, pp. 1954–1959, Detroit, Mich, USA, May 1999.
View at: Google Scholar
T. Sakaguchi, T. Kanamori, H. Katayose, K. Sato, and S. Inokuchi, “Human motion capture by integrating gyroscopes and accelerometers,” in Proceedings of the IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI '96), pp. 470–475, Washington, DC, USA, December 1996.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2007 Elisabetta Farella et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation Order printed copies

Views

591

Downloads

1221

Citations