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Using Google Glass and Machine Learning to Assist People with Memory Deficiencies

机译:使用Google Glass和机器学习来协助记忆力不足的人

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Memory deficiencies may occur naturally with age and for a variety of reasons including Alzheimer's disease, depression, side-effects of drug use, stroke, and traumatic brain injury. Because memory loss can significantly interferes with daily life, many external memory aids have been developed, though most use a passive approach. In this paper, we report on the design and prototype development of a dynamic, wearable system, called ELEPHANT, to assist those with memory deficiencies. Our design uses the Google Glass platform and a machine learning approach to intelligently retrieve stored photographic "memories " annotated with location, date, time, and activity information to enhance the memory of the user. Motivating background, system design philosophy, results of an initial prototype implementation and plans for future enhancements are presented.
机译:记忆力不足会随着年龄的增长而自然发生,原因有多种,包括阿尔茨海默氏病,抑郁症,吸毒副作用,中风和脑外伤。由于记忆丧失会严重干扰日常生活,因此开发了许多外部记忆辅助工具,尽管大多数使用被动方法。在本文中,我们报告了称为ELEPHANT的动态可穿戴系统的设计和原型开发,以帮助那些内存不足的人。我们的设计使用Google Glass平台和机器学习方法来智能地检索存储的带有位置,日期,时间和活动信息的摄影“记忆”,以增强用户的记忆力。提出了动机背景,系统设计理念,初始原型实施的结果以及未来的增强计划。

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