TY - JOUR
T1 - A Comparative Analysis of Two Approaches for Estimation of Upper Limb Orientation Using Inertial and Kinect Sensors
AU - Acharya, Aneesha
AU - Bhat, Somashekara
AU - Kanthi, Mallya
N1 - Funding Information:
Ethics Committee of Kasturba Hospital, Manipal has approved the use of developed Tin on healthy participants (Registration No. ECR/146/Inst/KA/2013). The authors are thankful to Ms. Smitha Acharya N and Ms. Anoushka U, department of Electronics and Communication Engineering, Manipal Institute of Technology, and Physiotherapy department, Manipal College of Health Professions (MCHP), MAHE Manipal for the necessary support in the study
Publisher Copyright:
© 2022 AECE
PY - 2022
Y1 - 2022
N2 - In Neuropsychology and Occupational medicine, the clinical environment uses upper limb assessment activity, which involves performing a few daily living activities. The main objective of this work is to develop a non-wearable, automated version of upper limb assessment, which allows ‘free movement’ of the hand and records the trajectory information using inertial and Kinect sensor modules. The upper limb orientation is measured using an object attached to an MPU6050 inertial sensor. The assessment involves the measurement of quantitative parameters such as time, orientation, and trajectory with which the given task is completed. A similar task is performed using the Kinect sensor. The correlation between these two sensors is recorded.
AB - In Neuropsychology and Occupational medicine, the clinical environment uses upper limb assessment activity, which involves performing a few daily living activities. The main objective of this work is to develop a non-wearable, automated version of upper limb assessment, which allows ‘free movement’ of the hand and records the trajectory information using inertial and Kinect sensor modules. The upper limb orientation is measured using an object attached to an MPU6050 inertial sensor. The assessment involves the measurement of quantitative parameters such as time, orientation, and trajectory with which the given task is completed. A similar task is performed using the Kinect sensor. The correlation between these two sensors is recorded.
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U2 - 10.4316/AECE.2022.04010
DO - 10.4316/AECE.2022.04010
M3 - Article
AN - SCOPUS:85149751892
SN - 1582-7445
VL - 22
SP - 83
EP - 90
JO - Advances in Electrical and Computer Engineering
JF - Advances in Electrical and Computer Engineering
IS - 4
ER -