Abstract
Emotions are fundamental to human life and can impact elderly healthcare encounters between caregiver and patient. Detecting emotions by monitoring the physical signals with wearable smart devices offers new promises for care support. While there are multiple studies on wearable devices, few of these pertain to soft electroencephalogram (EEG) caps designed for long-time wear by elderly people. In this study, a 4-channel textile cap was designed with dry electrodes held by an ultra-soft gel holder, while fashion and ergonomic design features were introduced to enhance wearability and comfort. The dry-electrode textile cap performed highly for monitoring EEG signals; closely matching the wet electrodes equipment. All participants reported positive feedback stating that the textile cap was softer, lighter, and more comfortable than other devices. A cumulative contribution rate of 72.199% for two factors (materials properties factor and design pattern factor) was achieved using the principal factor method (PFA), which are influencing the usability of the wearable devices. An average emotion classification accuracy of 81.32% was obtained from 5 healthy elderly subjects. It was thus concluded that the proposed method provides a stable monitoring and comfortable user experience for users, and can be used to detect emotions for elderly people with good results in the future.
Highlights
While aging societies are a global phenomenon, with a population share of 23% in 2009 [1], and an estimated 33% by 2030 [1], Japan has maintained the largest share and fastest-growing population of persons aged 65 years or over in the world
This paper is organized as follows: Section II explained the design of the textile cap in detail; In Section III, the experiments on performance evaluation and emotion detection were presented; Section IV described the results and discussion of: the signal quality compared with traditional wet electrodes; the usability performance compared with other wearable device; the implementation of emotion detection; Section V drew conclusions and Section VI summarized the limitations and provided suggestions in future work
The measured data of 2 subjects was incomplete as the wet electrodes lost contact with the scalp
Summary
While aging societies are a global phenomenon, with a population share of 23% in 2009 [1], and an estimated 33% (one-third) by 2030 [1], Japan has maintained the largest share and fastest-growing population of persons aged 65 years or over in the world. The aim in this study is to develop an emotion detecting system using EEG collecting devices that combines accurate signal collection with a comfortable user-friendly experience for elderly people. This paper is organized as follows: Section II explained the design of the textile cap in detail; In Section III, the experiments on performance evaluation and emotion detection were presented; Section IV described the results and discussion of: the signal quality compared with traditional wet electrodes; the usability performance compared with other wearable device; the implementation of emotion detection; Section V drew conclusions and Section VI summarized the limitations and provided suggestions in future work
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