Mishra Nilamadhab, Lin Chung-Chih, Chang Hsien-Tsung
Department of Computer Science and Information Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan Taoyuan 333, Taiwan.
ScientificWorldJournal. 2014;2014:125618. doi: 10.1155/2014/125618. Epub 2014 Oct 27.
Human activity, life span, and quality of life are enhanced by innovations in science and technology. Aging individual needs to take advantage of these developments to lead a self-regulated life. However, maintaining a self-regulated life at old age involves a high degree of risk, and the elderly often fail at this goal. Thus, the objective of our study is to investigate the feasibility of implementing a cognitive inference device (CI-device) for effective activity supervision in the elderly. To frame the CI-device, we propose a device design framework along with an inference algorithm and implement the designs through an artificial neural model with different configurations, mapping the CI-device's functions to minimise the device's prediction error. An analysis and discussion are then provided to validate the feasibility of CI-device implementation for activity supervision in the elderly.
科学技术创新提升了人类活动、寿命和生活质量。老年人需要利用这些发展来过上自我调节的生活。然而,在老年维持自我调节的生活存在高度风险,老年人往往难以实现这一目标。因此,我们研究的目的是探讨实施一种认知推理设备(CI设备)以对老年人进行有效活动监督的可行性。为构建CI设备,我们提出了一个设备设计框架以及一种推理算法,并通过具有不同配置的人工神经网络模型来实现这些设计,映射CI设备的功能以最小化设备的预测误差。然后进行分析和讨论,以验证CI设备用于老年人活动监督实施的可行性。