Demo abstract: WearableHUB: An open pervasive wearable data fusion platform for personal health management

Yiqiang Chen, Wen Gao, Shuangquan Wang, Shuai Jiao
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引用次数: 6

Abstract

The past years has seen the emergence and fast growing of various wearable devices, such as smart watches, wrist bands, rings, glasses, jewelry, garments, etc. Although wearable devices have a wide usage scope, healthcare is one of the most promising field which is being exploited by a number of big enterprises and research institutes. However, existing healthcare related wearable products usually work individually. There is almost no data transmission or information exchange between different kinds of devices, which prevents data fusion of multiple devices and development of upper layer healthcare applications. In this demo, we present WearableHUB, a mobile phone based open pervasive wearable data fusion platform for personal health management. WearableHUB can transform multimodal data (motion data, physiological indices, etc.) into unified format according to predefined standard. Other than traditional wearable computing system, WearableHUB not only can get preloaded function results from different devices based on module library according to data type and device position, but also can trigger and get dynamic online downloaded APP function base on fusing multimodal data and extracting higher level information.
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演示摘要:weararablehub:面向个人健康管理的开放式普适可穿戴数据融合平台
在过去的几年里,各种可穿戴设备的出现和快速发展,如智能手表、腕带、戒指、眼镜、珠宝、服装等。虽然可穿戴设备的使用范围很广,但医疗保健是最有前途的领域之一,许多大企业和研究机构正在开发。然而,现有的医疗保健相关可穿戴产品通常是单独工作的。不同类型的设备之间几乎没有数据传输或信息交换,这阻碍了多设备的数据融合和上层医疗保健应用的开发。在这个演示中,我们介绍了weararablehub,一个基于移动电话的开放式普适可穿戴数据融合平台,用于个人健康管理。weararablehub可以将多模态数据(运动数据、生理指标等)按照预定义的标准转换成统一的格式。与传统的可穿戴计算系统不同,weararablehub不仅可以根据数据类型和设备位置,基于模块库获取不同设备的预加载功能结果,还可以基于融合多模态数据,提取更高层次信息,触发并获得动态的在线下载APP功能。
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