发明名称 LEARNING MODE FOR CONTEXT IDENTIFICATION
摘要 Wearable devices that predict the context in which they are used based on previously tracked context data, and methods associated with the same, are provided. A wearable device may include a processor, a sensor that records data associated with a user of the wearable device, and memory storing executable instructions. By way of executing the instructions, the wearable device may receive context data representing a first context from the user. The wearable device may correlate the received context data with a first set of recorded sensor data. A second set of recorded sensor data may be recorded subsequent to recording the first set of recorded sensor data. The wearable device may then predict a second context associated with the second set of recorded sensor data based on the correlation between the context data received from the user and the first set of recorded sensor data. The user can label newly identified contexts.
申请公布号 WO2016151099(A1) 申请公布日期 2016.09.29
申请号 WO2016EP56614 申请日期 2016.03.24
申请人 KONINKLIJKE PHILIPS N.V. 发明人 CRONIN, John;CRONIN, Seth
分类号 H04M1/725;A61B5/00;G06F1/16;H04W4/00 主分类号 H04M1/725
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