Abstract
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dey, A., Abowd, G.D., Salber, D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum.-Comput. Interact. 16(2), 97–166 (2001)
Silva, H., Lourenc̨o, A., Fred, A., Martins, R.: BIT: Biosignal igniter toolkit. Computer Methods and Programs in Biomedicine 115(1), 20–32 (2014)
Cânovas, M., Silva, H., Lourenço, A., Canento, F., Fred, A.: MobileBIT: A framework for mobile interaction recording and display. In: Stacey, D., Solé-Casals, J., Fred, A.L.N., Gamboa, H. (eds.) Proc. of the 6th Conference on Health Informatics (HEALTHINF), pp. 366–369. SciTePress (2013)
Rosenberg, R.: The biofeedback pointer: EMG control of a two dimensional pointer. In: Digest of Papers of the Second International Symposium on Wearable Computers, Digest of Papers, pp. 162–163 (1998)
Guerreiro, T., Jorge, J.: Assessing electromyographic interfaces. JVRB 5 (2008)
Costanza, E., Inverso, S.A., Allen, R., Maes, P.: Intimate interfaces in action: Assessing the usability and subtlety of emg-based motionless gestures. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2007, pp. 819–828. ACM Press, New York (2007)
Rhee, K., You, K., Shin, H.: Intuitive robot control using surface emg and accelerometer signals. International Journal of Electrical, Electronics, Communication, Energy Science and Engineering 7(10), 89–92 (2013)
Brooke, J.: SUS: A quick and dirty usability scale. In: Jordan, P.W., Weerdmeester, B., Thomas, A., Mclelland, I.L. (eds.) Usability Evaluation in Industry. Taylor and Francis, London (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Gamecho, B. et al. (2014). Evaluation of a Context-Aware Application for Mobile Robot Control Mediated by Physiological Data: The ToBITas Case Study. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-13102-3_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13101-6
Online ISBN: 978-3-319-13102-3
eBook Packages: Computer ScienceComputer Science (R0)