Department of Computer Science & Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain 15551, United Arab Emirates.
Department of Electrical Engineering, National Taipei University of Technology, Taipei 106, Taiwan.
Sensors (Basel). 2021 Apr 28;21(9):3082. doi: 10.3390/s21093082.
Owing to progressive population aging, elderly people (aged 65 and above) face challenges in carrying out activities of daily living, while placement of the elderly in a care facility is expensive and mentally taxing for them. Thus, there is a need to develop their own homes into smart homes using new technologies. However, this raises concerns of privacy and data security for users since it can be handled remotely. Hence, with advancing technologies it is important to overcome this challenge using privacy-preserving and non-intrusive models. For this review, 235 articles were scanned from databases, out of which 31 articles pertaining to in-home technologies that assist the elderly in living independently were shortlisted for inclusion. They described the adoption of various methodologies like different sensor-based mechanisms, wearables, camera-based techniques, robots, and machine learning strategies to provide a safe and comfortable environment to the elderly. Recent innovations have rendered these technologies more unobtrusive and privacy-preserving with increasing use of environmental sensors and less use of cameras and other devices that may compromise the privacy of individuals. There is a need to develop a comprehensive system for smart homes which ensures patient safety, privacy, and data security; in addition, robots should be integrated with the existing sensor-based platforms to assist in carrying out daily activities and therapies as required.
随着人口老龄化的加剧，老年人（65 岁及以上）在日常生活活动中面临挑战，而将老年人安置在护理机构既昂贵又对他们的精神造成压力。因此，有必要利用新技术将他们自己的家庭改造成智能家居。然而，这引发了用户对隐私和数据安全的担忧，因为这些智能家居可以远程控制。因此，随着技术的进步，使用隐私保护和非侵入性模型来克服这一挑战非常重要。在本次综述中，从数据库中扫描了 235 篇文章，其中 31 篇与帮助老年人独立生活的家庭技术相关的文章被选为纳入研究。这些文章描述了各种方法的采用，如基于不同传感器的机制、可穿戴设备、基于摄像头的技术、机器人和机器学习策略，为老年人提供安全舒适的环境。最近的创新使得这些技术更加不引人注意和保护隐私，越来越多地使用环境传感器，减少使用可能侵犯个人隐私的摄像头和其他设备。需要开发一个智能家居的综合系统，以确保患者的安全、隐私和数据安全；此外，机器人应该与现有的基于传感器的平台集成，以协助完成日常活动和所需的治疗。
