Calorie Calculation System Using Multi-Sensor Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fitness tracking systems fail to accurately determine calorie consumption during daily activities and exercise, as they do not consider crucial parameters such as body and environment temperature, weight variations, angle of inclination, and activity intensity.
Innovation Solution
A system comprising sensors, a rules repository, and analysis modules that collect and analyze user data, including body temperature, ambient temperature, weight, and activity intensity, to calculate calorie consumption using pre-determined rules and modules for accurate calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fitness tracking systems are used, then the device complexity is low, but the measurement precision of calorie consumption is insufficient
Solution Approach 1:
The system divides calorie consumption calculation into multiple independent modules: a first analysis module that processes basic activity data, a second analysis module that processes temperature data, and a third analysis module that processes gravity and inclination data. Each module applies specific calculation rules independently, and their results are combined to achieve comprehensive and accurate calorie measurement without requiring a single complex calculation system.
2Measurement precision
If multiple parameters are considered for calorie calculation, then the measurement precision improves, but the loss of information increases due to the complexity of data collection and processing
Solution Approach 1:
The user device integrates multiple sensors that serve universal functions: sensors collect both basic activity data (steps, distance, speed) and environmental data (temperature, gravity, inclination) through a unified data collection framework. This multi-functional approach ensures comprehensive data capture without requiring separate specialized systems for each parameter, reducing information loss while maintaining measurement precision.
3Reliability
If real-time monitoring of multiple parameters is implemented, then the reliability of calorie calculation improves, but the use of energy by the system increases
Solution Approach 1:
The system dynamically adjusts its monitoring and calculation process based on available data and user needs. The analysis modules process parameters in a coordinated sequence, activating specific calculation rules based on real-time sensor inputs. This dynamic approach ensures reliable calorie calculation by processing only necessary data at each moment, reducing unnecessary energy consumption while maintaining calculation reliability.
Data Source
AI summary
The present disclosure discloses a system (100) to accurately determine the calorie consumed during daily activities/exer cise of a user associated with a user device (102) having a plurality of sensors. The system (100) comprises a rules repository (104), an input module (106), a user repository (108), a monitoring module (110), a first analysis module (112), a second analysis module (114), a third analysis module (116) and a calorie consumption module (118). The rules repository (104) stores three sets of pre-determined calculating rules and analysis rules. The input module (106) enables user to enter a plurality of primary user details and store it in the user repository (108). The monitoring module (110) receive a plurality of dynamic user data, a surroundings data and a user activity data using the sensors. The received data along with the primary user details is analysed. A first result, a second result and a third result are calculated post analysis and are added to get a final calorie result.