Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations

doi:https://doi.org/10.3233/978-1-60750-044-5-799

Open AccessArticle10.3233/978-1-60750-044-5-799

Control of Dexterous Bio-Prosthetic Hand via Sequential Recognition of EMG Signals Using Fuzzy Relations

Marek Kurzyński,Andrzej Wołczowski-2009-01-01-Studies in health technology and informatics

3

TL;DRAbstract

The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The contextual (sequential) recognition is considered in which the fuzzy relation approach is applied to the construction of a classifying algorithm. Experimental investigations of the proposed algorithm for real data are performed and results are discussed.

Chat with Paper

AI Agents for this Paper

The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The contextual (sequential) recognition is considered in which the fuzzy relation approach is applied to the construction of a classifying algorithm. Experimental investigations of the proposed algorithm for real data are performed and results are discussed.

Keywords

Computer scienceFuzzy logicProsthetic handRelation (database)Basis (linear algebra)Artificial intelligenceControl (management)Fuzzy control system

Chat

Click to start Chat