A research of SMG controlled prosthetic hand with SSE2 acceleration

Qian Chang, Jun Shi, Zhiheng Xiao, Yongping Zheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The muscle thickness changes of forearm extensor extracted from ultrasound images have been used to control prosthetic hand in our previous work, but the execution time to calculate the muscle thickness changes is a serious problem. In this study, the sum of absolute difference (SAD) algorithm was used instead of cross-correlation (CC) algorithm to track the muscle deformation. What's more, the Streaming SIMD Extensions 2 (SSE2) technique was used to further optimize the SAD algorithm. The results illuminated that the SAD with SSE2 drastically reduced mean 60% execution time comparing with CC algorithm, and the frame rate of 13.48 Hz was greater than the ultrasound sample rate of 12 Hz. So the prosthetic hand could be well controlled in a real-time way by this fast tracking algorithm. This study suggests that the muscle deformation extracted from ultrasound image has the feasibility to control prosthetic hand.
Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages2146-2149
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2008
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
CountryChina
CityBeijing
Period26/10/0829/10/08

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Computer Science Applications

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