학술논문

Research on Human Stoop Activity Energy Expenditure Detection Algorithm Based on AHRS Transducer
Document Type
Conference
Source
2019 IEEE International Conference on Mechatronics and Automation (ICMA) Mechatronics and Automation (ICMA), 2019 IEEE International Conference on. :916-920 Aug, 2019
Subject
Bioengineering
Components, Circuits, Devices and Systems
Robotics and Control Systems
Signal Processing and Analysis
Accelerometers
Energy consumption
Acceleration
Bending
Energy measurement
Mathematical model
Back
energy expenditure
AHRS
forward bending
detection algorithm
Language
ISSN
2152-744X
Abstract
The effectiveness of the measurement method of human exercise energy consumption based on accelerometer has been confirmed by research institutes in recent years. Aiming at the shortcomings of the accuracy of existing algorithms for human calorie consumption, this article aims at the importance of the detection of stoop activity energy expenditure (SAEE), a new system of detection SAEE based on AHRS transducer was presented. With collecting and analyzing data, a method for calculating the motion parameters and a new algorithm of detection SAEE was developed. The experimental results prove that the algorithm can accurately estimate bending energy consumption, and the accuracy can reach 84%. It has certain reference value for bending energy consumption calculation.