Temporal segmentation of exercise movements from wearable sensors
Temporal segmentation of exercise movements from wearable sensors
批准号:
485294-2015
负责人:
Kulic, Danica
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Doppel Inc. is a Canadian startup based in Waterloo, Ontario, focused on the development of wearable fitness
devices for athletic training. Doppel is creating a wearable fitness device that tracks repetitions for CrossFit
athletes. In order to promote compliance, engagement and competition within the class, the results are
displayed on a scoreboard in real time, and made available online for users to access. Doppel has developed a
device for the on-line tracking of movement during exercise, based on an IMU built into a belt-like neoprene
band, attached at the chest level (like a heart rate monitor), which transmits data via bluetooth to a central
device. In order to enable the online counting and display of exercise repetitions for each participant, the
system must be able to accurately identify the starting and ending point of each repetition from the continuous
time series data measured by the IMU, a problem known as temporal segmentation. The aim of the proposed
research is to develop and validate an accurate and robust segmentation algorithm which is capable of
accurately generating the required repetition data for the CrossFit exercises.
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