Abstract
A novel human machine interface is presented that ‘self-adapts’ to accommodate for changes in position between an operator and a non-contact sensor. Zero force sensing has been especially suitable for people with small amounts of movement force, making switch operation difficult or impossible. A common issue with existing switches concerned maintaining a workable operating position for a user. Testing of new “auto adapting” sensors demonstrated the viability of the approach and optical sensors provided a workable solution, but problems were encountered in strong light. Further work addressed this problem.
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Langner, M., Sanders, D., Tewkesbury, G., Zhou, S., Haddad, M. (2023). Human Machine Interaction Using Zero Force Sensing Switches Incorporating Self-adaptation. In: Wen, S., Yang, C. (eds) Biomedical and Computational Biology. BECB 2022. Lecture Notes in Computer Science(), vol 13637. Springer, Cham. https://doi.org/10.1007/978-3-031-25191-7_20
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