Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, Consiglio Nazionale delle Ricerche, 20133 Milano, Italy.
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.
Sensors (Basel). 2019 Jan 10;19(2):261. doi: 10.3390/s19020261.
Frailty is a clinical condition affecting the elderly population which results in an increased risk of falls. Previous studies demonstrated that falls prevention programs are effective, but they suffer from low adherence, especially when subjects have to train unsupervised in their homes. To try to improve treatment adherence, virtual reality and social media have been proposed as promising strategies for the increase of users' motivation and thus their willingness to practice. In the context of smart homes, this work presents SocialBike, a virtual reality-based application aimed at improving the clinical outcomes of older frail adults in their houses. Indeed, SocialBike is integrated in the "house of the future" framework and proposes a Dual Task training program in which the users are required to cycle on a stationary bike while recognizing target animals or objects appearing along the way. It also implements the possibility of training with other users, thus reducing the risk of social isolation. Within SocialBike, users can choose the multiplayer mode they prefer (i.e., collaborative or competitive), and are allowed to train following their own attitude. SocialBike's validation, refinement, and business model are currently under development, and are briefly discussed as future works.
衰弱是一种影响老年人群体的临床病症,会导致跌倒风险增加。先前的研究表明,跌倒预防计划是有效的,但它们的依从性较低,尤其是当受试者必须在家中无人监督的情况下进行训练时。为了提高治疗的依从性,虚拟现实和社交媒体已被提议作为提高用户动机的有前途的策略,从而提高他们进行实践的意愿。在智能家居的背景下,这项工作提出了 SocialBike,这是一种基于虚拟现实的应用程序,旨在改善老年人在其家中的临床结果。事实上,SocialBike 集成在“未来之家”框架中,并提出了一项双重任务训练计划,要求用户在固定自行车上骑行的同时识别沿途出现的目标动物或物体。它还实现了与其他用户一起训练的可能性,从而降低了社交隔离的风险。在 SocialBike 中,用户可以选择他们喜欢的多人游戏模式(即协作或竞争),并可以根据自己的态度进行训练。SocialBike 的验证、改进和商业模式正在开发中,并作为未来的工作进行了简要讨论。