Abstract
In today’s world touch screen devices are trending as people are dependent on their smartphones and tablets for much of their work, making it simple and convenient to store and access data anytime and anywhere. In such a bustling framework, some people are not able to access touch screen devices. These users are diseased by motor impairment because of which they find it difficult or nearly impossible to access touch screen devices resulting in a digital divide. This research work revolves around a technology that can be used to aid problems faced by motor impaired users. It provides an alternative solution by using an algorithm that detects emotions and performs action on touch screen devices. Facial expression recognition can support access to touch screen devices with minimal physical interaction. In this proposed work facial expressions of a user are detected.
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Sehgal, K., Goel, S., Jain, R. (2018). Facial Expression Recognition for Motor Impaired Users. In: Panda, B., Sharma, S., Roy, N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-10-8527-7_11
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DOI: https://doi.org/10.1007/978-981-10-8527-7_11
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