A sensor-aided self coaching model for uncocking improvement in golf swing

Chun, Sung; Kang, Dong-Joo; Choi, Hyeong-Rae; Park, Anjin; Lee, Ki-Kwang; Kim, Jin-Wook

doi:10.1007/s11042-013-1359-2

Cited by 20 publications

(9 citation statements)

References 17 publications

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“…This sampling rate has been shown to be sufficient in capturing kinematics data during swinging actions in sports. 18,21,22 The devices were fixed to the body segments with elastic belts 2 cm wide. None of the participants reported any discomfort from wearing the sensors, and they all stated that the sensors did not affect their stroke technique.…”

Section: Methodsmentioning

confidence: 99%

IMU gyroscopes are a valid alternative to 3D optical motion capture system for angular kinematics analysis in tennis

Delgado-García

Vanrenterghem

Ruiz-Malagón

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part P:

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Whereas 3D optical motion capture (OMC) systems are considered the gold standard for kinematic assessment in sport science, they present some drawbacks that limit its use in the field. Inertial measurement units (IMUs) incorporating gyroscopes have been considered as a more practical alternative. Thus, the aim of the study was to evaluate the level of agreement for angular velocity between IMU gyroscopes and an OMC system for varying tennis strokes and intensities. In total, 240 signals of angular velocity from different body segments and types of strokes (forehand, backhand and service) were recorded from four players (two competition players and two beginners). The angular velocity of the IMU gyroscopes was compared to the angular velocity from the OMC system. Level of agreement was evaluated by correlation coefficients, magnitudes of errors in absolute and relative values and Bland-Altman plots. Differences between both systems were highly consistent within players’ skill (i.e. along the broad range of velocities) and axes ( x, y, z). Correlations ranged from 0.951 to 0.993, indicating a very strong relationship and concordance. The magnitude of the differences ranged from 4.4 to 35.4 deg·s−1. The difference relative to the maximum angular velocity achieved was less than 5.0%. The study concluded that IMUs and OMC systems showed comparable values. Thus, IMUs seem to be a valid alternative to detect meaningful differences in angular velocity during tennis groundstrokes in field-based experimentation.

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Section: Methodsmentioning

confidence: 99%

IMU gyroscopes are a valid alternative to 3D optical motion capture system for angular kinematics analysis in tennis

Delgado-García

Vanrenterghem

Ruiz-Malagón

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part P:

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“…The devices obtain an individual golfer's values during the swing, which are analyzed by many researchers. (6,(14)(15)(16) In contrast, noncontact sensing uses pictures or videos to record a golfer's actions during the swing, and the actions are analyzed.…”

Section: Motion Analysis Of Golf Swingmentioning

confidence: 99%

Simulating Feasibility Assessment of the Golf Swing by Kinect Motion-Sensing Photography

2016

Sensors and Materials

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Golf swing analysis is a popular research subject, and is divided into contact sensing and noncontact sensing analysis according to different research methods. Contact sensing research often uses wearable sensors, including triaxial accelerometers, gyroscopes, and gravity accelerators, which are mounted on the golfer's limbs or relevant equipment. This study aims to construct a teaching system for correcting swing action using non-contact sensing Kinect motion-sensing photo equipment. The proposed system is expected to collect a golfer's pose and action during the backswing for data analysis, and detect incorrect backswing actions in order to attain the goal of interactive golf teaching.

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“…Analyzing golf swings using inertial sensors, S. Chun et al attached inertial sensors onto the wrist and the grips on golf clubs to propose a golf coaching model capable of analyzing and assessing users' uncocking motion [5]. C. N. K. Nam method of tracking the movement of golf clubs in golf swing motion [6].…”

Section: Introductionmentioning

confidence: 99%

3D Swing Trajectory of the Club Head from Depth Shadow

Baek¹,

Kim²

2017

IJCTE

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Using depth sensors like Microsoft Kinect for gesture recognition has recently drawn much academic attention. It is possible to recognize a user's body parts from depth images and find joint positions. Yet, it is not easy to track the club heads in fast swing motion. The present paper draws on single depth images to propose a new method of tracking the hand and club head paths in swing motion. Although the club head depth information cannot be directly gained from a depth sensor, a 3D trajectory can be generated by tracking and refining the hand and club head positions based on the depth-related shadow region information (depth shadow), hand depth information and club head depth information in the initial swing. The present experimental findings indicate the proposed method can easily capture the 3D hand and club head positions in driver tee shot motion in a small room.Index Terms-Kinect, depth shadow, club head trajectory, depth image, hand position.

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A sensor-aided self coaching model for uncocking improvement in golf swing

Cited by 20 publications

References 17 publications

IMU gyroscopes are a valid alternative to 3D optical motion capture system for angular kinematics analysis in tennis

IMU gyroscopes are a valid alternative to 3D optical motion capture system for angular kinematics analysis in tennis

Simulating Feasibility Assessment of the Golf Swing by Kinect Motion-Sensing Photography

3D Swing Trajectory of the Club Head from Depth Shadow

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