The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Anxiety detecting robotic system – towards implicit human-robot collaboration
Abstract
A novel affect-sensitive human-robot cooperative framework is presented in this paper. Peripheral physiological indices are measured through wearable biofeedback sensors to detect the affective state of the human. Affect recognition is performed through both quantitative and qualitative analyses. A subsumption control architecture sensitive to the affective state of the human is proposed for a mobile robot. Human-robot cooperation experiments are performed where the robot senses the affective state of the human and responds appropriately. The results presented here validate the proposed framework and demonstrate a new way of achieving implicit communication between a human and a robot.
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Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., Sandrone, G., Malfatto, G., Dell'Orto, S., & Piccaluga, E. (1986) · Circulation Research · doi:10.1161/01.res.59.2.178 · Cited by 4,130
Cited by
Bartneck, C., Kulić, D., Croft, E., & Zoghbi, S. (2009) · International Journal of Social Robotics · doi:10.1007/s12369-008-0001-3 · Cited by 3,193
Progress and prospects of the human–robot collaboration
Ajoudani, A., Zanchettin, A. M., Ivaldi, S., Albu-Schäffer, A., Kosuge, K., & Khatib, O. (2018) · Autonomous Robots · doi:10.1007/s10514-017-9677-2 · Cited by 832
HUMAN–ROBOT COLLABORATION: A SURVEY
BAUER, A., WOLLHERR, D., & BUSS, M. (2008) · International Journal of Humanoid Robotics · doi:10.1142/s0219843608001303 · Cited by 493
An empirical study of machine learning techniques for affect recognition in human–robot interaction
Rani, P., Liu, C., Sarkar, N., & Vanman, E. (2006) · Pattern Analysis and Applications · doi:10.1007/s10044-006-0025-y · Cited by 313
Self-citationHuman-Robot Collaboration: A Literature Review and Augmented Reality Approach in Design
Green, S. A., Billinghurst, M., Chen, X., & Chase, J. G. (2008) · International Journal of Advanced Robotic Systems · doi:10.5772/5664 · Cited by 306
Metadata
- Authors
- Rani, P., Sarkar, N., Smith, C. A., & Kirby, L. D.
- Venue
- Robotica
- Publisher
- Cambridge University Press (CUP)
- Published
- 2004-01
- Volume
- 22
- Issue
- 1
- Pages
- 85-95
- ISSN
- 0263-5747 (ISSN-L)
- 1469-8668
- OpenAlex
- W1992739204
- Cited by
- 174
- References
- 4
- FWCI
- 12.18
- Type
- journal article
- Language
- en
- Open access
- closed
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