Literature DB >> 22255097

Radio frequency identification--an innovative solution to guide dexterous prosthetic hands.

Matthew S Trachtenberg1, Girish Singhal, Rahul Kaliki, Ryan J Smith, Nitish V Thakor.   

Abstract

Dexterous manipulation of a multi-fingered prosthetic hand requires far more cognitive effort compared to typical 1 degree of freedom hands, which hinders their acceptance clinically. This paper presents a Myoelectrically-Operated Radio Frequency Identification (RFID) Prosthetic Hand (MORPH); an implementation of RFID with a myoelectric prosthetic hand as a means to amplify the controllable degrees of freedom. Contextual information from an object equipped with an RFID tag allows automatic preshaping along with dexterous control in an attempt to reduce the cognitive effort required to operate the terminal device. The myoelectric-RFID hybrid has been demonstrated in a proof-of-concept case study where an amputee was fitted with the device and subjected to activities adapted from the Jebsen Hand Function Test and the Smith Hand Function Evaluation with RFID-tagged and untagged items. Evaluation tests revealed that the MORPH system performed significantly better in 4 of the 8 tasks, and comparable to the control in the remainder.

Mesh:

Year:  2011        PMID: 22255097     DOI: 10.1109/IEMBS.2011.6090948

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Utilizing Tactile Feedback for Biomimetic Grasping Control in Upper Limb Prostheses.

Authors:  Luke Osborn; Nitish V Thakor; Rahul Kaliki
Journal:  Proc IEEE Sens       Date:  2013-12-19

Review 2.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

  2 in total

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