Context Adaptive Personalized Psychological State Sampling Method and Apparatus for Wearable Devices

摘要

A situation-adaptive personalized psychological state sampling method and apparatus for wearable devices is presented. The context-adaptive personalized psychological state sampling device for a wearable device proposed in the present invention includes a sensor data collection unit that collects sensor data using mobile and wearable devices, and a body that infers the physical activity of the user using the collected sensor data. Activity classification unit, sensor data that clusters data by using the sensor data feature values extracted for each inferred physical activity, the current psychological state as the corresponding sensor data based on the data classified through the unsupervised learning unit and the sensor data unsupervised learning unit Information collection request determination to determine whether to request self-information collection from the user based on at least one of at least one of the hierarchical mental state classification unit that infers the inferred mental state, the collected label information, sensor data, and user burden It includes an information collection interface that receives self-report information from the user when the sub- and information collection request determination unit decides to collect self-report information from the user.