Evaluation of a Neural Network-Based Control Strategy for a Cost-Effective Externally-Powered Prosthesis.
This paper presents a control strategy that compensates for the nonlinearity in the inexpensive sensors and hardware of a cost effective prosthetic hand. The control strategy uses neural network-based force control and sensory feedback to detect disturbance induced by slippage. The neural network ap...
| Publicado en: | Assistive Technology Vol. 24; no. 3; pp. 196 - 209 |
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| Autores principales: | , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Fall2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104494311&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104494311 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10400435 YVP jtl: Assistive Technology issn: 10400435 maglogo: Y pubinfo: dt: Fall2012 vid: 24 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104494311 2011651631 10.1080/10400435.2012.659796 NLM23033736 104494311 ppf: 196 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Evaluation of a Neural Network-Based Control Strategy for a Cost-Effective Externally-Powered Prosthesis. aug: au: Pasluosta, Cristian F. Chiu, Alan W. L. affil: Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA sug: subj: Myoelectric Prosthesis Neural Networks (Computer) Algorithms Evaluation Research Feedback Fingers Funding Source Human Prosthesis Design ab: This paper presents a control strategy that compensates for the nonlinearity in the inexpensive sensors and hardware of a cost effective prosthetic hand. The control strategy uses neural network-based force control and sensory feedback to detect disturbance induced by slippage. The neural network approach is chosen over other nonlinear models because it is easy to implement and it offered the additional advantage of having its parameters easily adjusted over the life span of the device. The proposed strategy was evaluated on a functional multi-digit underactuated prosthetic hand. The initial and incremental forces exerted from each finger were adjusted to balance the amount of disturbance and the deformation of the objects. Experiments were conducted to test the performance of the protocol in situations encountered in activities of daily living. The displacement of each object under three grasping configurations was measured as a performance criterion while the object's mass was changed. The results showed that with the adjusted parameters for each grasping configuration, the control strategy was able to detect the dynamic changes in mass of the object and was also able to successfully adjust the grasping force before the object drops from the hand. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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