cStick: A Calm Stick for Fall Prediction, Detection and Control in the IoMT Framework - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2022

cStick: A Calm Stick for Fall Prediction, Detection and Control in the IoMT Framework

Laavanya Rachakonda
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Saraju P. Mohanty
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Elias Kougianos
  • Fonction : Auteur
  • PersonId : 1112792

Résumé

Falls are constant threats to older adults and can minimize their ability to live independently. To help mitigate the occurrences and effects of such unfortunate accidents, it is imperative to find an accurate, reliable, robust and convenient solution to make life easier for elder adults who may have visual or hearing impairments. In order to reduce such occurrences, a calm stick, cStick is proposed. cStick is an IoT (Internet of Things) enabled system which has a capability to predict falls before their occurrence, to warn the user that there may be an incident of fall, to detect falls and also provide control remedies to reduce their impact. cStick monitors the location of the user, the physiological changes that occur when a person is about to fall and also monitors the surroundings the user is in when having an incident of fall. Based on the changes in the monitored parameters, the decision of fall i.e., a prediction, warning or detection of fall is made with an accuracy of approximately 95%. Control mechanisms to reduce the impact of the fall along with connection capabilities to the help unit are provided with the cStick system.
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Dates et versions

hal-04471538 , version 1 (21-02-2024)

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Laavanya Rachakonda, Saraju P. Mohanty, Elias Kougianos. cStick: A Calm Stick for Fall Prediction, Detection and Control in the IoMT Framework. 4th IFIP International Internet of Things Conference (IFIPIoT), Nov 2021, Virtual, Netherlands. pp.129-145, ⟨10.1007/978-3-030-96466-5_9⟩. ⟨hal-04471538⟩
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