Abstract: A server for classifying a plurality of mental states of a user is provided. The server comprised: a service platform; and a mental state classification platform. The service platform is configured to: provide a questionnaire corresponding to each of the plurality of mental states to a terminal of a user, and receive an answer of the user to the questionnaire from the terminal; receive a face image generated by photographing a face of the user while the user inputs the answer to the questionnaire for each of the plurality of mental states in the terminal of the user; by the terminal, display the face image including at least a middle of a forehead and both cheeks of the face of the user on the user interface so that the user can recognize his/her appearance while inputting the answer to the questionnaire through the user interface of the terminal; and transmit the answer received from the user and the face image to the mental state classification platform.

Abstract: A method of classifying a mental state of a user using a computing device, which includes a microphone, a camera, a display, a wireless communication unit, and a processor, and a mental state classification server is provided. The method comprises: by the microphone, detecting ambient noise of the user; by the camera, generating an image by photographing a face of the user; by the processor, checking whether each of ambient noise of the user, ambient brightness of the face of the user obtained from the image, and a face position of the user obtained from the image is suitable for a heart rate variability measurement environment; by the processor, controlling to display on the display images indicating whether each of the ambient noise, the ambient brightness, and the face position is suitable for the heart rate variability.

Abstract: The present disclosure relates to a technology for effectively providing cognitive reinforcement training for cognitive reservability improvements in everyday life of a user, and supports the formation of exercise and eating habits which help improving the cognitive reservability of a user through an interactive program type system that is driven in a digital device, such as a smartphone, and allows the user to learn information on cognitive reinforcement training and a training method, and provides digitalized cognitive reinforcement training at a personalized difficulty level. Accordingly a user's training motive can be improved through a user-friendly format. Furthermore, the improvements of specialized and efficient cognitive reservability can be expected.

Abstract: A mental state classification method in which a server including a communication unit, a memory, and a processor provides a map to a user is provided. The method comprises: receiving personal information, which include at least one of workplace, age, department, and job group, of a plurality of users from a terminal of each of the plurality of users; storing the received personal information of the plurality of users in the memory; generating a plurality of groups by classifying the plurality of users into administrative districts to which workplaces of the users belong; receiving a signal indicating that the user has selected one of the administrative districts; and in response to the received signal, transmitting, to the terminal, information for displaying an average value of a severity of a mental state of the plurality of users corresponding to the selected district by the terminal.

Abstract: A method of classifying a mental state of a user using a computing device, which includes a microphone, a camera, a display, a wireless communication unit, and a processor, and a mental state classification server is provided. The method comprises: by the microphone, detecting ambient noise of the user; by the camera, generating an image by photographing a face of the user; by the processor, checking whether each of ambient noise of the user, ambient brightness of the face of the user obtained from the image, and a face position of the user obtained from the image is suitable for a heart rate variability measurement environment; by the processor, controlling to display on the display images indicating whether each of the ambient noise, the ambient brightness, and the face position is suitable for the heart rate variability.

Abstract: A server for classifying a plurality of mental states of a user is provided. The server comprised: a service platform; and a mental state classification platform. The service platform is configured to: provide a questionnaire corresponding to each of the plurality of mental states to a terminal of a user, and receive an answer of the user to the questionnaire from the terminal; receive a face image generated by photographing a face of the user while the user inputs the answer to the questionnaire for each of the plurality of mental states in the terminal of the user; by the terminal, display the face image including at least a middle of a forehead and both cheeks of the face of the user on the user interface so that the user can recognize his/her appearance while inputting the answer to the questionnaire through the user interface of the terminal; and transmit the answer received from the user and the face image to the mental state classification platform.