Abstract: An emotion modeling method for providing a vehicle sound with regard to an emotion of a user in a vehicle sound and an apparatus thereof are provided. The emotion modeling apparatus receives a sound by a user utterance, determines an emotional attribute based on the sound using an emotion analysis algorithm, derives an instrumental value of a sound concept by analyzing psychosocial consequences of the emotional attribute using an artificial neural network, and generates an emotional model based on the instrumental value of the sound concept.

Abstract: An apparatus and a method for controlling a vehicle sound are provided. The apparatus a detection device that detects driving information and drive mode setting information and a processing device electrically connected with the detection device. The processing device determines an emotional state of a driver based on at least one of the driving information or the drive mode setting information, determines a sound concept depending on the emotional state of the driver, and controls a vehicle sound depending on the sound concept.

Abstract: An apparatus and a method for caring emotion of a driver based on a vehicle sound, may include a detector configured to detect driving information of the vehicle and body information of a user, a non-transitory storage to store instructions, and a processor to execute the instructions. The processor determines an emotional status of the driver by use of at least one of the driving information or the body information, to generate a healing sound by designing a virtual sound based on the driving information and the emotional status of the driver, and to generate and output the healing sound.

Abstract: A method and an apparatus for outputting body information of a user. The method of outputting the body information of a user comprises: designating coordinate points of the body information according to first, second, and third body information on a three-dimensional coordinate having the first, second, and third coordinates as coordinate axes; and outputting comparison information between the user body figure and the average body figure from the distance between the coordinate point of the body information of the average body figure designated on a three-dimensional coordinate in advance and the coordinate point of the body information of the user.

Abstract: A method of estimating stress caused by an exercise includes receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user. The questionnaire data is then received back from the user, including the body measurements from the user and measuring again the health measurements data; Parameters are designed based on the received and re-received questionnaire data and the measured and re-measured health measurement data and the parameters are converted to predetermined values. A regression analysis model is designed for estimating the exercise stress using the parameters and performing regression analysis and the exercise stress estimated through the regression analysis is transmitted to the user.

Abstract: A method and an apparatus for outputting body information of a user. The method of outputting the body information of a user comprises: designating coordinate points of the body information according to first, second, and third body information on a three-dimensional coordinate having the first, second, and third coordinates as coordinate axes; and outputting comparison information between the user body figure and the average body figure from the distance between the coordinate point of the body information of the average body figure designated on a three-dimensional coordinate in advance and the coordinate point of the body information of the user.

Abstract: A method of estimating stress caused by an exercise includes receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user. The questionnaire data is then received back from the user, including the body measurements from the user and measuring again the health measurements data.; Parameters are designed based on the received and re-received questionnaire data and the measured and re-measured health measurement data and the parameters are converted to predetermined values. A regression analysis model is designed for estimating the exercise stress using the parameters and performing regression analysis and the exercise stress estimated through the regression analysis is transmitted to the user.