Method and apparatus for context-adaptive personalized psychological state sampling for wearable device

An apparatus for context-adaptive personalized sampling of a psychological state for a wearable device, the apparatus comprising:

• a sensor data collection unit configured to collect sensor data using a mobile and a wearable device;
• a physical activity classification unit configured to deduce a user's physical activities based on the collected sensor data;
• a sensor data unsupervised learning unit configured to group data based on sensor data feature values extracted for each deduced physical activity;
• a hierarchical psychological state classification unit configured to deduce a current psychological state as corresponding sensor data based on the data classified by the sensor data unsupervised learning unit;
• an information collection request determination unit configured to determine whether request self-report information collection from a user based on at least one of the deduced current psychological state, collected label information, the sensor data or a degree of a user burden;
• and
• an information collection interface unit configured to receive self-report information from the user when the information collection request determination unit determines to collect the self-report information from the user,
• wherein the hierarchical psychological state classification unit is configured to:
• select a group closest to corresponding sensor data in order to deduce the current psychological state using the sensor data, and
• perform hierarchical psychological state model classification for deducing the current psychological state based on a distribution of labels assigned to the selected group.

A method of sampling a context-adaptive personalized psychological state for a wearable device, the method comprising steps of:

• collecting sensor data using a mobile and a wearable device through a sensor data collection unit;
• deducing a user's physical activities based on the collected sensor data through a physical activity classification unit;
• grouping data based on a sensor data feature value extracted for each deduced physical activity through a sensor data unsupervised learning unit;
• deducing a current psychological state as corresponding sensor data based on the classified data through a hierarchical psychological state classification unit;
• determining whether to request information collection from the user based on at least one of the deduced current psychological state, collected label information, the sensor data or a degree of a user burden through an information collection request determination unit;
• and
• receiving self-report information from the user through the information collection interface unit when the information collection request determination unit determines to collect the self-report information from the user,
• wherein the step of deducing the current psychological state as the corresponding sensor data based on the classified data through the hierarchical psychological state classification unit comprises:
• performing hierarchical psychological state model training for assigning a label to each group trained by the sensor data unsupervised learning unit using a label self-reported by the user from the information collection interface unit, and
• performing classification on multiple labels when a plurality of labels is assigned to one group.

A method of sampling a context-adaptive personalized psychological state for a wearable device, the method comprising steps of:

• collecting sensor data using a mobile and a wearable device through a sensor data collection unit;
• deducing a user's physical activities based on the collected sensor data through a physical activity classification unit;
• grouping data based on a sensor data feature value extracted for each deduced physical activity through a sensor data unsupervised learning unit;
• deducing a current psychological state as corresponding sensor data based on the classified data through a hierarchical psychological state classification unit;
• determining whether to request information collection from the user based on at least one of the deduced current psychological state, collected label information, the sensor data or a degree of a user burden through an information collection request determination unit;
• and
• receiving self-report information from the user through the information collection interface unit when the information collection request determination unit determines to collect the self-report information from the user,
• wherein the step of deducing the current psychological state as the corresponding sensor data based on the classified data through the hierarchical psychological state classification unit comprises:
• selecting a group closest to corresponding sensor data in order to deduce the current psychological state using the sensor data, and
• performing hierarchical psychological state model classification for deducing the current psychological state based on a distribution of labels assigned to the selected group.