Abstract
The nature of Big Data tends to collect a huge quantity of useful information about human life. Implementing Artificial Life applications inherent to health could improve and sensitize individuals to the future. In fact, would be useful to implement an application that monitors people with neurodegenerative diseases when they are away from home to monitor Wandering. In this paper, an application called “WanDa” is proposed that monitors and prevents deviations from the usual path in real-time and, if wandering is detected, can guide the elderly person to a safe place and alert caregivers or relatives. The application uses the sensors and technologies of a generic Android smartphone and has a very simple interface to manage wandering behaviors. We tested the application from two perspectives: the accuracy of the algorithm in detecting wandering behaviors and the user experience. In both cases, WanDa was judged positively (Questionnaires performed by caregivers of patients who take the test), showing that it can be a useful support for managing, monitoring, and reporting wonder episodes.
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This work is supported by the Italian Ministry of Education, University and Research within the PRIN2017 - BullyBuster project - A framework for bullying and cyberbullying action detection by computer vision and artificial intelligence methods and algorithms.
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De Carolis, B., Gattulli, V., Impedovo, D., Pirlo, G. (2023). WanDa: A Mobile Application to Prevent Wandering. In: De Stefano, C., Fontanella, F., Vanneschi, L. (eds) Artificial Life and Evolutionary Computation. WIVACE 2022. Communications in Computer and Information Science, vol 1780. Springer, Cham. https://doi.org/10.1007/978-3-031-31183-3_19
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DOI: https://doi.org/10.1007/978-3-031-31183-3_19
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