Decoding static and dynamic arm and hand gestures from the JPL BioSleeve

IEEE Aerospace Conference Proceedings

Volumn , Issue , 2013, Pages

  Wolf, Michael T ^a   Assad, Christopher ^a   Stoica, Adrian ^a   You, Kisung ^b   Jethani, Henna ^c   Vernacchia, Matthew T ^c   Fromm, Joshua ^d   Iwashita, Yumi ^e  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b Research Institute of Industrial Science and Technology (RIST)   (South Korea)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d California Institute of Technology   (United States)

^e KYUSHU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRAVEHICULAR ACTIVITY; HIGH DEGREE OF FREEDOM; INERTIAL MEASUREMENT UNIT; NATURAL USER INTERFACES; ROBOT TELEOPERATION; STATIC AND DYNAMIC; SURFACE ELECTROMYOGRAPHY; TIME VARYING;

AEROSPACE APPLICATIONS; DECODING; ELECTROMYOGRAPHY; MANNED SPACE FLIGHT; SENSORS; UNITS OF MEASUREMENT;

USER INTERFACES;

EID: 84878721766     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2013.6497171     Document Type: Conference Paper

References (20)

1. B. Peerdeman, D. Boere, H.Witteveen, R. Veld, H. Hermens, S. Stramigioli, H. Rietman, P. Veltink, and S. Misra, "Myoelectric forearm prosthesis: State of the art from a user-centered perspective." J. Rehabilitation Research and Development, vol. 48, no. 6, pp. 719-738, 2011.
2. P. Zhou, M. Lowery, K. Englehart, H. Huang, G. L. L. Hargrove, J. A. Dewald, and T. Kuiken, "Decoding a new neural-machine interface for control of artificial limbs, " J. Neurophysiol., vol. 98, pp. 2974-2982, 2007.
3. A. Li, A. E. Schultz, and T. A. Kuiken, "Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses, " IEEE Trans. Neural Systems and Rehabilitation Eng., vol. 18, no. 2, pp. 185-192, Apr. 2010.
4. F. Tenore, A. Ramos, A. Fahmy, S. Acharya, R. Etienne-Cummings, and N. Thakor, "Decoding of individuated finger movements using surface electromyography, " IEEE Trans. Biomedical Eng., vol. 56, no. 5, pp. 1427-1434, May 2009.
5. P. Liu, D. Brown, F. Martel, D. Rancourt, and E. Clancy, "EMG-to-force modeling for multiple fingers, " in IEEE Northeast Bioengineering Conf., Apr. 2011.
6. R. Smith, F. Tenore, D. Huberdeau, R. Etienne-Cummings, and N. Thakor, "Continuous decoding of finger position from surface EMG signals for the control of powered prostheses, " in IEEE Int. Conf. Engineering in Medicine and Biology Society (EMBS), Aug. 2008.
7. K. Wheeler, M. Chang, and K. Knuth, "Gesture-based control and EMG decomposition, " IEEE Trans. Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 36, no. 4, pp. 503-514, Jul. 2006.
8. J. Kim, S. Mastnik, and E. Andre, "EMG-based hand gesture recognition for realtime biosignal interfacing, " in Proc. of the 13th Int. Conf. on Intelligent User Interfaces (IUI). New York, NY, USA: ACM, 2008, pp. 30-39.
9. P. Artemiadis and K. Kyriakopoulos, "EMG-based control of a robot arm using low-dimensional embeddings, " IEEE Trans. Robotics, vol. 26, no. 2, pp. 393-398, Apr. 2010.
10. S. Mitra and T. Acharya, "Gesture recognition: A survey, " Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 37, no. 3, pp. 311-324, May 2007.
11. S.Waldherr, R. Romero, and S. Thrun, "A gesture based interface for human-robot interaction, " Autonomous Robots, vol. 9, pp. 151-173, 2000.
12. R. Stiefelhagen, C. Fugen, R. Gieselmann, H. Holzapfel, K. Nickel, and A. Waibel, "Natural human-robot interaction using speech, head pose and gestures, " in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), vol. 3, Sep. 2004, pp. 2422-2427.
13. H.-D. Yang, A.-Y. Park, and S.-W. Lee, "Gesture spotting and recognition for human-robot interaction, " IEEE Trans. Robotics, April 2007.
14. B. Burger, I. Ferrane, F. Lerasle, and G. Infantes, "Twohanded gesture recognition and fusion with speech to command a robot, " Autonomous Robots, vol. 32, pp. 129-147, 2012.
15. E. Bachmann, X. Yun, and R. McGhee, "Sourceless tracking of human posture using small inertial/magnetic sensors, " in IEEE Int. Symp. on Computational Intelligence in Robotics and Automation, vol. 2, Jul. 2003, pp. 822-829.
16. N. Miller, O. Jenkins, M. Kallmann, and M. Mataric, "Motion capture from inertial sensing for untethered humanoid teleoperation, " in IEEE/RAS Int. Conf. on Humanoid Robots, vol. 2, nov. 2004, pp. 547-565.
17. H. Harms, O. Amft, G. Troster, and D. Roggen, "SMASH: a distributed sensing and processing garment for the classification of upper body postures, " in Int. Conf. on Body Area Networks (BodyNets), 2008, pp. 22:1-22:8.
18. V. Vapnik, Estimation of Dependences Based on Empirical Data. Springer Verlag, 1982.
19. J. Shawe-Taylor and N. Cristianini, Support Vector Machines and other kernel-based learning methods. Cambridge University Press, 2000.
20. T. Darrell and A. Pentland, "Space-time gestures, " in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 1993, pp. 335-340.