Sports motion analysis system using wearable sensors and video cameras

2017 ◽  
Author(s):  
Woosuk Kim ◽  
Myunggyu Kim
Keyword(s):  
Motion Analysis ◽  
Wearable Sensors ◽  
Motion Analysis System ◽  
Video Cameras ◽  
Analysis System

Differences Among an Expert and a Non Expert in the Behavior for Chucking in the Lathe

2013 ◽  
Author(s):  
Porakoch Sirisuwan ◽  
Tetsushi Koshino ◽  
Chieko Narita ◽  
Takashi Yoshikawa
Keyword(s):  
Motion Analysis ◽  
Sampling Rate ◽  
Arm Movement ◽  
Motion Analysis System ◽  
Video Cameras ◽  
Position Data ◽  
Lathe Machine ◽  
The Difference ◽  
Infrared Cameras ◽  
Analysis System

The expert worker (85 years old) has worked for 70 years and the non expert (16 years old) has worked 1 year of experience for the lathe processing. The subjects were compared the difference in the waist, the shoulder and the fore arm movement between the two worker while they were chucking on the lathe machine. Determination used the same parts and the same type of lathe machine for investigated. There were 4 main categories that related three stances position alignment and two hands position on the key chuck. Using the 6 infrared cameras and 2 video cameras captured the position of each marker. All markers position data which synchronization was taken by a motion analysis system (sampling rate: 100Hz). As a results show the balance movement both the waist and the shoulder during the chucking that had significantly greater in the expert worker than the non expert worker.

scholarly journals The Validity of Wireless Earbud-Type Wearable Sensors for Head Angle Estimation and the Relationships of Head with Trunk, Pelvis, Hip, and Knee during Workouts

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 597
Author(s):  
Ae-Ryeong Kim ◽  
Ju-Hyun Park ◽  
Si-Hyun Kim ◽  
Kwang Bok Kim ◽  
Kyue-Nam Park
Keyword(s):  
Motion Analysis ◽  
Sagittal Plane ◽  
Wearable Sensors ◽  
Frontal Plane ◽  
Measurement Unit ◽  
Motion Analysis System ◽  
3D Motion ◽  
Trunk Motion ◽  
3D Motion Analysis ◽  
Analysis System

The present study was performed to investigate the validity of a wireless earbud-type inertial measurement unit (Ear-IMU) sensor used to estimate head angle during four workouts. In addition, relationships between head angle obtained from the Ear-IMU sensor and the angles of other joints determined with a 3D motion analysis system were investigated. The study population consisted of 20 active volunteers. The Ear-IMU sensor measured the head angle, while a 3D motion analysis system simultaneously measured the angles of the head, trunk, pelvis, hips, and knees during workouts. Comparison with the head angle measured using the 3D motion analysis system indicated that the validity of the Ear-IMU sensor was very strong or moderate in the sagittal and frontal planes. In addition, the trunk angle in the frontal plane showed a fair correlation with the head angle determined with the Ear-IMU sensor during a single-leg squat, reverse lunge, and standing hip abduction; the correlation was poor in the sagittal plane. Our results indicated that the Ear-IMU sensor can be used to directly estimate head motion and indirectly estimate trunk motion.

Knee Angle Analysis Using a Wearable Motion Analysis System for Detection and Rehabilitation of Mild Traumatic Brain Injury

2013 ◽  
Author(s):  
Amanda L. Martori ◽  
Stephanie L. Carey ◽  
Derek J. Lura ◽  
Rajiv V. Dubey
Keyword(s):  
Motion Analysis ◽  
Brain Injuries ◽  
Wearable Sensors ◽  
Motion Analysis System ◽  
Laboratory Setting ◽  
Gait Parameters ◽  
Optical Motion ◽  
Football Field ◽  
Analysis System ◽  
Optical Motion Capture

Mild traumatic brain injuries (mTBI) are common in soldiers and athletes, and can affect many areas of a person’s daily life including gait [1]. Current methods of measuring gait parameters involve expensive optical motion capture systems, time intensive setup, wires, complicated filtering techniques, and a laboratory setting. A wearable and wireless motion analysis system would allow gait analysis to be performed outside of a laboratory setting during activities of daily living, in a clinical setting or on a football field. The purpose of this study was to develop and verify an algorithm to calculate knee flexion during slow gait, particularly during terminal stance and pre-swing phases, using wireless wearable sensors.

scholarly journals Investigation of normal knees kinematics in walking and running at different speeds using a portable motion analysis system

2021 ◽  
pp. 1-14
Author(s):  
Rixu Liu ◽  
Dongyang Qian ◽  
Yushu Chen ◽  
Jianyu Zou ◽  
Shicong Zheng ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Motion Analysis System ◽  
Analysis System

scholarly journals Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes

Sensors ◽  
2010 ◽  
Vol 10 (12) ◽  
pp. 10733-10751 ◽  
Author(s):  
Rodrigo Pérez ◽  
Úrsula Costa ◽  
Marc Torrent ◽  
Javier Solana ◽  
Eloy Opisso ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Upper Limb ◽  
Motion Analysis System ◽  
Analysis System

scholarly journals Knee kinematics of ACL-deficient patients: A development of a portable motion analysis system

2018 ◽  
Vol 13 (4) ◽  
Author(s):  
Pui Wa Fung ◽  
Kam Ming Mok ◽  
Ruen Shan Leow ◽  
Sai Chuen Fu ◽  
Patrick Shu Hang Yung ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Knee Kinematics ◽  
Motion Analysis System ◽  
Analysis System ◽  
Acl Deficient
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