Abstract
Modern haptic gloves incorporate wearable technologies employing sensor and actuator arrays with a power supply and electronics for haptic data acquisition and processing to support human-computer interaction in different application domains. This paper discusses the prototyping process of specialized haptic Datagloves that realize remote two-way communication for the deafblind. The research aims to design and develop a haptic Dataglove system as a human-computer interface that supports the independence of the deafblind. The employed communication approach is based on the Malossi alphabet with minimal adjustments that enable its use in mobile settings. The implemented input/output method reduces the complexity of character spelling for the deafblind by touch sensitive pads and haptic feedback actuators embedded in the Datagloves. As a result, messages can be i) transmitted by simple tapping on the sensitive touch pads with the thumb of the same hand and ii) received through the haptic actuators on the other hand either simultaneously or consecutively.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sandler, W., Lillo-Martin, D.: Sign Language and Linguistic Universals. Cambridge University Press (2006)
Mesch, J.: Tactile signing with one-handed perception. Sign Lang. Stud. 13(2), 238–263 (2013)
Chang, C. -M., Sanches, F., Gao, G., Johnson, S., Liarokapis, M.: An Adaptive, Affordable, Humanlike Arm Hand System for Deaf and DeafBlind Communication with the American Sign Language. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, pp. 871–878 (2022). https://doi.org/10.1109/IROS47612.2022.9982052
Duvernoy, B., et al.: HaptiComm: a touch-mediated communication device for deafblind individuals. IEEE Robot. Autom. Lett. 8(4), 2014–2021 (2023). https://doi.org/10.1109/LRA.2023.3241758
Raavi, R., Kanev, K., Hung, P.C.K.: Integration of optical and data gloves input for improved sign language analysis and interpretation through machine learning. In: The 8th International Symposium toward the Future of Advanced Research in Shizuoka University, Japan, p. 52. (2022)
Kanev, K., Mimura, H., Hung, P.C.K.: Data gloves for hand and finger motion interactions. In: Lee, N. (ed.) Encyclopedia of Computer Graphics and Games, pp. 1–4. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-319-08234-9_510-1
Owada, S.S., Sugimura, H., Isshiki, M.: Toddler’s hand motion acquisition with hand-made data glove. In: 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), Osaka, Japan, pp. 96–97 (2022)
Gelsomini, F., et al.: Communicating with humans and robots: a motion tracking data glove for enhanced support of deafblind. In: 55th Hawaii International Conference on System Sciences, United States, 9 p. (2022)
Caporusso, N.: A wearable Malossi alphabet interface for deafblind people. In: Proceedings of the Working Conference on Advanced Visual Interfaces (AVI ‘08). Association for Computing Machinery, New York, NY, USA, pp. 445–448 (2008). https://doi.org/10.1145/1385569.1385655
Gollner, U., Bieling, T., Joost, G.: Mobile Lorm glove. In: Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction. ACM, New York, NY, USA, pp. 127–130 (2012)
Khambadkar, V., Folmer, E.: A tactile-proprioceptive communication aid for users who are deafblind. In: 2014 IEEE Haptics Symposium (HAPTICS), Houston, TX, USA, pp. 239–245 (2014). https://doi.org/10.1109/HAPTICS.2014.6775461
Choudhary, T., Kulkarni, S., Reddy, P.: A Braille-based mobile communication and translation glove for deafblind people. In: 2015 International Conference on Pervasive Computing (ICPC), Pune, India, pp. 1–4 (2015). https://doi.org/10.1109/PERVASIVE.2015.7087033
Lee, B.G., Lee, S.M.: Smart wearable hand device for sign language interpretation system with sensors fusion. IEEE Sens. J. 18(3), 1224–1232 (2018). https://doi.org/10.1109/jsen.2017.2779466
Navaitthiporn, N., Rithcharung, P., Hattapath, P., Pintavirooj, C.: Intelligent glove for sign language communication. In: 2019 12th Biomedical Engineering International Conference (BMEiCON), 4 p. (2019). https://doi.org/10.1109/bmeicon47515.2019.8990293
Giulia, C., Chiara, D.V., Esmailbeigi, H.: GLOS: GLOve for Speech Recognition. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, pp. 3319–3322 (2019). https://doi.org/10.1109/EMBC.2019.8857927
Ozioko, O., Dahiya, R.: Smart tactile gloves for haptic interaction, communication, and rehabilitation. Adv. Intell. Syst. 4(2), 2100091-1-22 (2021)
Suzuki, K., et al.: Rapid-response widely stretchable sensor of aligned MWCNT/elastomer composites for human motion detection. ACS Sens. 1(6), 817–825 (2016)
Gelsomini, F., et al.: Specialized CNT-based sensor framework for advanced motion tracking. In: The 54th Hawaii International Conference on System Sciences (HICSS-54), Symposium: Computing in Companion Robots and Smart Toys, Grand Wailea, Maui, Hawaii, 7–10 Jan (2021). https://doi.org/10.24251/HICSS.2021.231
Demoe, M., Uribe-Quevedo, A., Salgado, A.L., Mimura, H., Kanev, K., Hung, P.C.K.: Exploring data glove and robotics hand exergaming: lessons learned. In: IEEE 8th International Conference on Serious Games and Applications for Health, Vancouver, Canada, pp. 1–8 (2020)
Salgado, A.: User experience aspects in wearable multi-device applications designed for health systems: lessons learned. In: The 6th International Symposium on Biomedical Engineering, Japan, 2 p. (2022)
Caporusso, N., Biasi, L., Cinquepalmi, G., Trotta, G.F., Brunetti, A., Bevilacqua, V.: A wearable device supporting multiple touch- and gesture-based languages for the deaf-blind. In: Ahram, T., Falcão, C. (eds.) AHFE 2017. AISC, vol. 608, pp. 32–41. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60639-2_4
Takeda, R., Nakamura, A., Kanev, K.: Development of a haptics glove for communication. The Institute of Electronics, Information and Communication Engineers (IEICE), Technical Report ED2022-29, CPM2022-54, LQE2022-62(2022-11), Japan, 6 p. (2022)
Acknowledgments
The research and development related to this work was partially supported by JSPS KAKENHI Grant Number JP22K12125 and funding for Cooperative Research at the Research Center for Biomedical Engineering and the Research Institute of Electronics.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Hung, P.C.K., Kanev, K., Nakamura, A., Takeda, R., Mimura, H., Kimura, M. (2023). Prototyping of Haptic Datagloves for Deafblind People. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 177. Springer, Cham. https://doi.org/10.1007/978-3-031-35836-4_29
Download citation
DOI: https://doi.org/10.1007/978-3-031-35836-4_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35835-7
Online ISBN: 978-3-031-35836-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)