Abstract
Populations around the world are rapidly ageing as the population aged 65 and over is growing faster than all other age groups. Most of the daily life actions of active elderly are related to walking activities, thus guaranteeing walking environments that are elderly-friendly are nowadays a priority to ensure healthy aging. Measuring and recognizing the affective state of people during walking activities contribute to a better comprehension of their perception of the environment, and a better definition of walkable urban area. With the aim of paving the way for assessing walkability, introducing quantitative evaluation tools, this work proposes to compare physiological responses of subjects of different ages, in different walking conditions. To this end a proper experiment has been designed in a controlled environment, considering both young adults and elderly, and adopting wearable devices. In this paper the analysis of the leg muscles activity acquired with Electromyography is presented. The results of this preliminary study highlight age-related differences in subjects facing both forced speed walks and collision avoidance tasks.
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Acknowledgment
This research is partially supported by Fondazione Cariplo, for the project LONGEVICITY - Social Inclusion for the Elderly through Walkability (Ref. 2017-0938) and by the Japan Society for the Promotion of Science (Ref. L19513). We want to give our thanks to Kenichiro Shimura and Daichi Yanagisawa, for their supporting work during the experimentation.
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Gasparini, F., Grossi, A., Nishinari, K., Bandini, S. (2021). Age-Related Walkability Assessment: A Preliminary Study Based on the EMG. In: Baldoni, M., Bandini, S. (eds) AIxIA 2020 – Advances in Artificial Intelligence. AIxIA 2020. Lecture Notes in Computer Science(), vol 12414. Springer, Cham. https://doi.org/10.1007/978-3-030-77091-4_25
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