The increasing population of elderly people is associated with the need to meet their increasing requirements and to provide solutions that can improve their quality of life in a smart home. In addition to fear and anxiety towards interfacing with systems; cognitive disabilities, weakened memory, disorganized behavior and even physical limitations are some of the problems that elderly people tend to face with increasing age. The essence of providing technology-based solutions to address these needs of elderly people and to create smart and assisted living spaces for the elderly; lies in developing systems that can adapt by addressing their diversity and can augment their performances in the context of their day to day goals. Therefore, this work proposes a framework for development of a Personalized Intelligent Assistant to help elderly people perform Activities of Daily Living (ADLs) in a smart and connected Internet of Things (IoT) based environment. This Personalized Intelligent Assistant can analyze different tasks performed by the user and recommend activities by considering their daily routine, current affective state and the underlining user experience. To uphold the efficacy of this proposed framework, it has been tested on a couple of datasets for modelling an average user and a specific user respectively. The results presented show that the model achieves a performance accuracy of 73.12% when modelling a specific user, which is considerably higher than its performance while modelling an average user, this upholds the relevance for development and implementation of this proposed framework.
翻译:越来越多的老年人口需要满足其日益增长的需求,并提供能够提高他们在智能家庭中生活质量的解决办法。除了恐惧和焦虑之外,这项工作还提出一个框架,用以发展个人智能助理,帮助老年人在智能和连通的互联网上开展日常生活活动,这种以事物为基础的环境。这个个性化智能助理可以分析用户执行的不同任务,并通过考虑他们的日常工作、当前影响状态和拟议的用户经验,建议活动。为了维护这一拟议框架的效力,它用若干数据集测试了该框架,以模拟一个平均用户和一个具体用户的实用性,而其实际性则显示一个比其平均模型的准确性。