可穿戴设备与人工智能技术相结合,促进身体活动

D. Baretta, F. Sartori, A. Greco, R. Melen, Fabio Stella, L. Bollini, M. D'addario, P. Steca
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引用次数: 11

摘要

体育活动被认为是预防和管理非传染性疾病的最重要因素之一。移动技术为支持人工智能提供了几个机会,特别是如果与心理学方面、基于模型的推理系统和个性化人机交互相结合。这项仍在进行中的研究旨在开发一个可扩展的框架,以临床和非临床人群中的PA推广为目标,利用贝叶斯网络和专家系统来表征和预测自我效能等定性变量。预期的结果是收集和管理实时行为和心理数据,以定义个性化的策略来增加PA。
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Wearable devices and AI techniques integration to promote physical activity
Physical activity (PA) is considered one of the most important factors for the prevention and management of non-communicable diseases (NCDs). Mobile technologies offer several opportunities for supporting PA, especially if combined with psychological aspects, model-based reasoning systems and personalized human computer interaction. This still on-going research aims at developing a scalable framework that targets PA promotion among both clinical and non-clinical population, exploiting Bayesian Networks and Expert Systems to characterize and predict qualitative variables like self-efficacy. The expected outcomes are the collection and management of real-time behavioral and psychological data to define a personalized strategy for increasing PA.
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