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Physical activity inference from environmental metrics
专利权人:
发明人:
Julia Maureen Letchner,Scott Saponas,Alice Jane Brush,Aman Kansal,Daniel Morris
申请号:
US13714547
公开号:
US09700240B2
申请日:
2012.12.14
申请国别(地区):
US
年份:
2017
代理人:
摘要:
Portable devices include environmental sensors that generate metrics about the environment (e.g., accelerometers detecting impulses and vibration, and GPS receivers detecting position and velocity). Such devices often use environmental metrics to extract user input directed at the device by the user, and status information about the device and the environment. Presented herein are techniques for using environmental metrics to infer physical activities performed by the user while attached to the device. For example, jogging may be inferred from regular, strong impulses and typical jogging speed walking may be inferred from regular, weak impulses and typical walking speed and riding in a vehicle may be inferred from low-level vibrations and high speed (optionally identifying the type of vehicle ridden by the user). Based on these inferences, the device may automatically present applications and/or or adjust user interfaces suitable for the users physical activity, rather than responsive to user input.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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