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Ayumi Ohnishi is researching a system that uses wearable devices to routinely take measurements of the five senses so that it is possible to provide controls and services based on the individual's level of fatigue. Machine learning is applied to the multiple sets of data obtained through the wearable sensors in order to estimate the user's level of fatigue. Artificial intelligence (AI) is used to detect signs of fatigue, and the devices that improve the senses are adjusted so that the users are offered the same capabilities that they would have when they are at full health. Examples of smart wearable equipment for overcoming fatigue would be eyeglasses that automatically adjust brightness and clarity and hearing aids that automatically adjust the volume.
Ohnishi also strives to resolve power supply challenges that hinder widespread use of wearable devices. She is developing a system that is able to recognize action without the need for charging through the use of shoes that generate power from the act of walking.
Ohnishi also strives to resolve power supply challenges that hinder widespread use of wearable devices. She is developing a system that is able to recognize action without the need for charging through the use of shoes that generate power from the act of walking.
Research Interests
Papers共 31 篇Author StatisticsCo-AuthorSimilar Experts
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Annual IEEE International Conference on Pervasive Computing and Communicationspp.261-266, (2024)
ADVANCES IN MOBILE COMPUTING AND MULTIMEDIA INTELLIGENCE, MOMM 2023 (2023): 93-103
Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 Proceedings of the International Conference of the Learning Sciences (2023)
Advances in Mobile Computing and Multimedia Intelligence Lecture Notes in Computer Sciencepp.120-125, (2023)
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