Evaluation of a Context-Aware Application for Mobile Robot Control Mediated by Physiological Data: The ToBITas Case Study
We present the ToBITas mobile Context-Aware application to control a mobile robot using electromyographic and accelerometric signals acquired from the user’s right-hand arm. The signals are acquired by means of an off-the-shelf low-cost device called BITalino and are processed by an Android smartphone. Our work was developed as a case study to validate the quality of the mobile applications created with a rapid-prototyping framework called MobileBIT. We evaluated the application with thirteen participants and the results suggest that participants were able to adapt to the proposed control mode, completing the task in a suitable time.
Keywordscontext-awareness mobile computing physiological signals human-computer interaction
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