Evaluation of a Context-Aware Application for Mobile Robot Control Mediated by Physiological Data: The ToBITas Case Study

• Published in: Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 147 - 154
• Main Authors: Gamecho, Borja, Guerreiro, José, Alves, Ana Priscila, Lourenço, André, da Silva, Hugo Plácido, Gardeazabal, Luis, Abascal, Julio, Fred, Ana
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2014
• Series: Lecture Notes in Computer Science
• Subjects: context-awareness; human-computer interaction; mobile computing; physiological signals
• ISBN: 9783319131016; 331913101X
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-13102-3_26

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.