Abstract
Tactile signing and touch-based alphabets are among the primary communication systems for people who suffer from sensory or multisensory conditions, such as, blindness or deaf-blindness, respectively. In the last decade, several research projects based on sensory substitution focused on developing novel interfaces. However, people who are sensory-impaired still lack reliable technology for interacting with the world. To this end, wearable devices could have a significant role in providing individuals with support for daily activities, communication, and social inclusion. In this paper, we introduce a categorization based on technology for sensing and representing the main components of touch- and gesture-based communication systems (i.e., movement, gesture, pressure, and touch) to provide an understanding of the technical and human factors which affect or foster the development of new assistive technology.
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References
Chang, A., O’Modhrain, S., Jacob, R., Gunther, E., Ishii, H.: ComTouch: design of a vibrotactile communication device. In: 4th Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques (2002). doi:10.1145/778712.778755
Bieling, T., Gollner, U., Joost, G.: Mobile lorm glove – introducing a communication device for deaf-blind people. In: Tangible, embedded and embodied interaction. Kingston, ON, Canada (2012)
Kramer, J., Leifer, L.: The talking glove. SIGCAPH Comput. Phys. Handicap 39, 12–16 (1988). doi:10.1145/47937.47938
Caporusso, N.: A wearable Malossi alphabet interface for deafblind people. In: Conference on Advanced Visual Interfaces, pp. 445–448 (2008). doi:10.1145/1385569.1385655
Frieman, B.B.: State braille standards for teachers of students who are blind or visually impaired: a national survey. Braille Monit. 47(1), 12–16 (2004)
Pederson, T., Janlert, L., Surie, D.: Towards a model for egocentric interaction with physical and virtual objects. In: 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries, pp. 755–758 (2010). doi:10.1145/1868914.1869022
Bevilacqua, V., Biasi, L., Pepe, A., Caporusso, N.: A computer vision method for recognizing finger spelling. In: International Conference on Intelligent Computing. ISBN 978-3-319-22052-9
Halim, Z., Abbas, G.: A kinect-based sign language hand gesture recognition system for hearing- and speech-impaired: a pilot study of Pakistani sign language. Assistive Technol. (2015). doi:10.1080/10400435.2014.952845
Brouet, R., Blanch, R., Cani, M.P.: Understanding hand degrees of freedom and natural gestures for 3D interaction on tabletop. In: Kotzé, P., Marsden, G., Lindgaard, G., Wesson, J., Winckler, M. (eds.) Human-Computer Interaction. Springer, Heidelberg (2013)
Li, Y., Chen, X., Zhang, X., Wang, K., Yang, J.: Interpreting sign components from accelerometer and sEMG data for automatic sign language recognition. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3358–3361 (2011). doi:10.1109/IEMBS.2011.6090910
Hernandez-Rebollar, J.: ASL Glove with 3-Axis Accelerometers. Patent application (2010). https://www.google.com/patents/US20100023314
Yang, H.-D.: Sign language recognition with the kinect sensor based on conditional random fields. Sensors 15(1), 135–147 (2014)
Elmahgiubi, M., Ennajar, M., Drawil, N., Elbuni, M.S.: Sign language translator and gesture recognition. In: Global Summit on Computer & Information Technology, pp. 1–6 (2015). doi:10.1109/GSCIT.2015.7353332
Abhishek, K.S., Qubeley, L.C.F., Ho, D.: Glove-based hand gesture recognition sign language translator using capacitive touch sensor. In: IEEE International Conference on Electron Devices and Solid-State Circuits, pp. 334–337 (2016). doi:10.1109/EDSSC.2016.7785276
Bandodkar, M., Chourasia, V.: Low cost real-time communication braille hand-glove for visually impaired using slot sensors and vibration motors. Int. J. Electr. Comput. Energ. Electron. Commun. Eng. (2014). http://waset.org/publications/9999162
Russo, L.O., Farulla, G.A., Pianu, D., Salgarella, A.R., Controzzi, M., Cipriani, C., Oddo, C.M., Geraci, C., Rosa, S., Indaco, M.: PARLOMA – a novel human-robot interaction system for deaf-blind remote communication. Int. J. Adv. Robot. Syst. 12(5) (2015). doi:10.5772/60416
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Caporusso, N., Biasi, L., Cinquepalmi, G., Trotta, G.F., Brunetti, A., Bevilacqua, V. (2018). Enabling Touch-Based Communication in Wearable Devices for People with Sensory and Multisensory Impairments. In: Ahram, T., Falcão, C. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2017. Advances in Intelligent Systems and Computing, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-60639-2_15
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DOI: https://doi.org/10.1007/978-3-319-60639-2_15
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