Apparatus for Calculating Calories Balance by Classifying User's Activity

• US 20100191155A1
• Filed: 08/04/2009
• Published: 07/29/2010
• Est. Priority Date: 01/28/2009
• Status: Abandoned Application

• Current Assignee: Korea Advanced Institute of Science and Technology
• Original Assignee: Korea Advanced Institute of Science and Technology
• Inventors: KIM, Ig-Jae, KIM, Hyoung Gon, AHN, Sang Chul
• Application Number:
  US12/535,630
• Publication Number:
  US 20100191155A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

An apparatus for calculating calorie balance based on an activity classification, disclosed herein, includes a calculation part calculating characteristic values of acceleration and a user'"'"'s calorie expenditure from the user'"'"'s activities, and calculating food data and the user'"'"'s calorie intake from foods taken by the user; and a recognition part recognizing the user'"'"'s activities based on the characteristic values of acceleration, and recognizing the foods based on the food data. The characteristic values of acceleration are extracted from acceleration data of acceleration sensors, which determine the user'"'"'s activities, and include information on the relationship between the acceleration data and the user'"'"'s activities. The calculation part calculates calorie balance, using the user'"'"'s calorie expenditure and the user'"'"'s calorie intake.

Claims

1. An apparatus for calculating calorie balance based on an activity classification, comprising:

a calculation part calculating a characteristic value of acceleration and a user'"'"'s calorie expenditure from the user'"'"'s activity, and calculating food data and the user'"'"'s calorie intake from a food taken by the user; and

a recognition part recognizing the user'"'"'s activity based on the characteristic value of acceleration, and recognizing the food based on the food data,

wherein the characteristic value of acceleration is extracted from acceleration data of acceleration sensors, which determine the user'"'"'s activity, and include information on the relationship between the acceleration data and the user'"'"'s activity, and

wherein the calculation part calculates calorie balance, using the user'"'"'s calorie expenditure and the user'"'"'s calorie intake.

2. The apparatus according to claim 1, wherein the food data is extracted from an image of the food taken by a camera, and is a visual descriptor or bar code information of the food.

3. The apparatus according to claim 1, wherein the food data is extracted from an RFID tag of the food obtained by an RFID reader, and is tag information of the food.

4. The apparatus according to claim 1, wherein the characteristic value of acceleration comprises an average acceleration,

wherein the average acceleration is obtained by extracting a DC element through a fast Fourier transform of the acceleration data.

5. The apparatus according to claim 1, wherein the characteristic value of acceleration comprises an energy value,

wherein the energy value is obtained by a process in which all of the values, except a DC element, which are calculated through a fast Fourier transform of the acceleration data, are respectively squared and summed, and then divided by the number of the acceleration data.

6. The apparatus according to claim 1, wherein the characteristic value of acceleration comprises a correlation,

wherein the correlation is a correlation between acceleration data for each of axes of the acceleration data.

7. The apparatus according to claim 1, wherein the characteristic value of acceleration comprises an entropy value,

wherein the entropy value is obtained using a distribution probability of the absolute value of the acceleration data.

8. The apparatus according to claim 1, wherein the recognition part recognizes the user'"'"'s activity, referring to an activity classification table,

wherein the table is prepared to have several activities classified by the characteristic value of acceleration, and to store information on the amounts of calories consumed by the several activities.

9. The apparatus according to claim 8, wherein the activity classification table stores the results that measure several activities and characteristic values of acceleration corresponding to the several activities by repeated learning.

10. The apparatus according to claim 9, wherein the calculation part calculates the user'"'"'s calorie expenditure, using the recognized user'"'"'s activity and the amount of calorie stored in the activity classification table.

11. The apparatus according to claim 1, wherein the recognition part recognizes the foods, using a food classification table,

wherein the food classification table is prepared to have several foods classified by the food data, and to store information on the amounts of calories of the several foods.

12. The apparatus according to claim 11, wherein the calculation part calculates the user'"'"'s calorie intake, using the recognized food and the amount of calories of the food.

13. The apparatus according to claim 10, further comprising a display part displaying the state of calorie balance based on the difference between the user'"'"'s calorie intake and the user'"'"'s calorie expenditure.

14. The apparatus according to claim 13, wherein the display part displays excessive calories if the user'"'"'s calorie intake is more than the user'"'"'s calorie expenditure, insufficient calories if the user'"'"'s intake is less than the user'"'"'s expenditure, and balanced calories if the user'"'"'s intake is the same as the user'"'"'s expenditure.