Haddad, Malik; Shamieh, Jamal; Sanders, David; Gharavi, Amir; Tewkesbury, Giles; Hassan-Sayed, Mohamed; Langner, Martin; (2024) Intelligent Scanning Collision Avoidance Device with Risk Assessment. In: Arai, K, (ed.) Intelligent Systems and Applications (IntelliSys 2024). (pp. pp. 112-123). Springer Nature

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Abstract

This paper presents an Intelligent Scanning Collision Avoidance Device (Intelligent-SCAD) which is used to detect obstacles in a powered wheelchair surroundings to avoid related risk consequences. The Intelligent-SCAD provides a safe direction for the wheelchair. Inputs to the Intelligent-SCAD originate from a single rotating ultrasonic transducer fixed to the wheelchair. Readings from the ultrasonic transducer are used to train and test different Artificial Intelligence (AI) algorithms. The AI algorithms used were: Artificial Neural Network, Decision Tree, optimised Tree and optimised K-Nearest Neighbour. An algorithm is selected based on a compromise between accuracy and complexity. The optimised K-Nearest Neighbour algorithm provided the highest testing accuracy and relatively straightforward operation when compared with the other algorithms used. The new device applies optimised K-Nearest Neighbour to predict a safe direction for a wheelchair. The user can override the new system if necessary.

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