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        A Multi Levels Data Fusion Approach for an Electric Wheelchair Control

        Fatma Ben Taher,Nader Ben Amor,Mohamed Jallouli,Aicha Ben Hammouda,Olfa Dghim 대한의용생체공학회 2016 Biomedical Engineering Letters (BMEL) Vol.6 No.4

        Purpose Assistive technology has allowed providing valuableassistance to people with special needs. Several studies havetargeted “smart” wheelchairs. However, these prototypes arenot yet commercialized, mainly for security reasons. Theobjective of this study is to ameliorate the control successrate and fulfill maximally the security constraint. Methods In this paper, we present a multi-levels data fusiontechnique. Three subsystems operate separately to find thenavigation command. These subsystems are based respectivelyon EEG signals, head position tracking and eye tracking. Their individual decisions are then fused to deliver the finalcommand to the wheelchair. Results The proposed technique achieves was able to reacha success rate equal to 94.4%. This rate represents animprovement of 7% compared to single source controltechniques. Conclusions The results of this study demonstrate the abilityof data fusion to improve the success rate and to avoidcritical situations such as total breakdown in case of sensorfailure.

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