Fault tolerant tactile sensor arrays for prosthesis

Subrahmanya Teja, Joycee Mekie, John John Cabibihan, Nitish V. Thakor, Sunil L. Kukreja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The demand for sensor networks has grown significantly over the last decade. These networks operate as a single unit, accumulating information from individual sensor nodes. Due to a matrix-like topology of these arrays, a fault at a single node may affect the performance of neighboring sensors. Therefore, it is critical to detect and compensate faults. In this paper, we propose a fault tolerant algorithm that is capable of detecting and compensating faults independently, without external operator intervention, by exploiting the temporal correlation of sensors. The efficiency of the proposed algorithm was validated by integrating the sensor array with a prosthetic hand used to provide tactile feedback to a controller for slip and grasp management.

Original languageEnglish (US)
Title of host publication2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016
PublisherIEEE Computer Society
Pages31-34
Number of pages4
ISBN (Electronic)9781509032877
DOIs
StatePublished - Jul 26 2016
Event6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016 - Singapore, Singapore
Duration: Jun 26 2016Jun 29 2016

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
Volume2016-July
ISSN (Print)2155-1774

Other

Other6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016
CountrySingapore
CitySingapore
Period6/26/166/29/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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  • Cite this

    Teja, S., Mekie, J., Cabibihan, J. J., Thakor, N. V., & Kukreja, S. L. (2016). Fault tolerant tactile sensor arrays for prosthesis. In 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016 (pp. 31-34). [7523594] (Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics; Vol. 2016-July). IEEE Computer Society. https://doi.org/10.1109/BIOROB.2016.7523594