EZwakeup: a sleep environment design for sleep quality improvement.

CHI '14: CHI Conference on Human Factors in Computing Systems Toronto Ontario Canada April, 2014(2014)

引用 9|浏览13
暂无评分
摘要
Sleep quality affects people's work performance, mood, safety, and quality of life. Poor sleep quality reduces short-term memory, cognitive abilities, and motor skills for all age groups. We introduce EZwakeup, a system that extracts sleep quality indicators with an eTextile-based sensing system and applies feedback-guided external stimuli to smoothly wake people up from deep sleep. It does not require people to wear any external devices and can be directly deployed unobtrusively in home environment. In experiments, participants reported that they felt well rested and energetic for the rest of the day when they were awakened by the guided stimuli. This result suggests that EZwakeup might be a viable option for improving personal sleep quality and have potential in treating common sleep disorders.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要