Abstract
This paper presents a method utilizing temperature field to improve the indoor mobility of the blind/visually-impaired-people (Blind/VIP) in a physical field-enhanced intelligent space (iSpace) that takes advantages of the rapidly developing cloud-computing and personal mobile devices (generally built with sound, image, video and vibration alert capabilities) to share way-finding information among users. A method, which uses temperature fields and their gradients to detect face-orientation and analyze leg-postures for predicting the motion states of other humans in a traveling path, is introduced. The concept feasibility of the temperature-based human motion detection has been experimentally validated in a simulated school environment for the Blind/VIP where users are generally familiar with stationary objects but less confident in daily walking in a crowd where human motion is unpredictable. The experimental findings presented in this paper establish a basis for developing temperature filed-enhanced iSpace.
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Jiang, J., Lee, KM., Ji, J. (2017). Physical Field-Enhanced Intelligent Space with Temperature-Based Human Motion Detection for Visually Impaired Users. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_12
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DOI: https://doi.org/10.1007/978-3-319-65298-6_12
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