TY  - JOUR
T1  - IDFusion: Joint Angle Measurement Method through Fusion of Inertial Measurement Sensor and Depth Camera
AU  - Park, Juyeon 
AU  - Park, Mingyu 
AU  - Park, Gyumin 
AU  - Lee, Hyun 
JO  - Journal of KIISE, JOK
PY  - 2025
DA  - 2025/1/14
DO  - 10.5626/JOK.2025.52.3.208
KW  - inertial measurement sensor
KW  - depth camera
KW  - sensor fusion
KW  - joint angle measurement
KW  - artificial intelligence
AB  - Recent advancements in human and object recognition technologies are increasingly applied across various fields, particularly in motion detection research utilizing inertial measurement sensors and depth cameras in areas such as gaming, healthcare, and security. However, challenges such as cumulative errors and variable measurement accuracies depending on the environment persist. This study proposed IDFusion, a method that could integrate inertial measurement sensors and depth cameras for joint angle measurement, distinguishing itself through data transformation and joint angle conversion stages before fusion. Comparative analysis against using inertial measurement sensors and depth cameras individually demonstrated a superior performance of IDFusion. This technique holds promise for applications in healthcare, sports science, and human-computer interaction.