Predicting Sleep Using Consumer Wearable Sensing Devices

نویسنده

  • Miguel A. Garcia
چکیده

In contrast to the explosion of consumer wearable health device market, which includes millions of units sold worldwide, the efforts undertaken to validate the accuracy and reliability of these monitoring apps and devices have been minimal [1]. To reach this understanding there are several barriers. In the domain of sleep tracking, sleep researchers have yet to define standard metrics for validation, and wearable companies contribute to a general lack of availability of technical information by keeping information about sensors’ raw data, accuracy, and algorithms hidden as trade secrets [2].

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تاریخ انتشار 2017