Populations around the world are rapidly ageing, and the need to ensure healthy aging is one of the main priorities of modern society. Living and moving in environments that support and maintain intrinsic capacity and functional ability are important aspects related to healthy ageing. 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. This work proposes to assess walkability, evaluating the safety perception of different walking conditions, relying on physiological responses. 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 muscles activity acquired with Electromyography is presented as a preliminary study.
Gasparini, F., Grossi, A., Nishinari, K., Bandini, S. (2020). EMG for walkability assessment: A comparison between elderly and young adults. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020) (pp.88-100). CEUR-WS.
EMG for walkability assessment: A comparison between elderly and young adults
Gasparini F.
Primo
;Bandini S.Ultimo
2020
Abstract
Populations around the world are rapidly ageing, and the need to ensure healthy aging is one of the main priorities of modern society. Living and moving in environments that support and maintain intrinsic capacity and functional ability are important aspects related to healthy ageing. 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. This work proposes to assess walkability, evaluating the safety perception of different walking conditions, relying on physiological responses. 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 muscles activity acquired with Electromyography is presented as a preliminary study.
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