Early Improper Motion Detection in Golf Swings Using Wearable Motion Sensors: The First Approach
نویسندگان
چکیده
This paper presents an analysis of a golf swing to detect improper motion in the early phase of the swing. Led by the desire to achieve a consistent shot outcome, a particular golfer would (in multiple trials) prefer to perform completely identical golf swings. In reality, some deviations from the desired motion are always present due to the comprehensive nature of the swing motion. Swing motion deviations that are not detrimental to performance are acceptable. This analysis is conducted using a golfer's leading arm kinematic data, which are obtained from a golfer wearing a motion sensor that is comprised of gyroscopes and accelerometers. Applying the principal component analysis (PCA) to the reference observations of properly performed swings, the PCA components of acceptable swing motion deviations are established. Using these components, the motion deviations in the observations of other swings are examined. Any unacceptable deviations that are detected indicate an improper swing motion. Arbitrarily long observations of an individual player's swing sequences can be included in the analysis. The results obtained for the considered example show an improper swing motion in early phase of the swing, i.e., the first part of the backswing. An early detection method for improper swing motions that is conducted on an individual basis provides assistance for performance improvement.
منابع مشابه
Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example
Wearable devices and smart sport equipment are being increasingly used in amateur and professional sports. Smart sport equipment employs various sensors for detecting its state and actions. The correct choice of the most appropriate sensor(s) is of paramount importance for efficient and successful operation of sport equipment. When integrated into the sport equipment, ideal sensors are unobstru...
متن کاملSport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing
Athletes in any sports can greatly benefit from feedback systems for improving the quality of their training. In this paper, we present a golf swing training system which incorporates wearable motion sensors to obtain inertial information and provide feedback on the quality of movements. The sensors are placed on a golf club and athlete’s body at positions which capture the unique movements of ...
متن کاملThe speckled golfer
This paper describes the application of the first fully wireless network of inertial sensors for full-body 3-D motion capture – the Orient-2 system, to real-time on-body analysis of the golf swing. The golfer-club system is modelled as a double pendulum. The factors which affect the efficiency of the golf swing are outlined, such as the length of the back swing, the wrist-cock angle, swing plan...
متن کاملA Real-time Motion Tracking Wireless System for Upper Limb Exosuit Based on Inertial Measurement Units and Flex Sensors (TECHNICAL NOTE)
This paper puts forward a real-time angular tracking (motion capture) system for a low cost upper limb exosuit based on sensor fusion; which is integrated by an elastic sleeve-mitten, two inertial measurement units (IMU), two flex sensors and a wireless communication system. The device can accurately detect the angular position of the shoulder (flexion-extension, abduction-adduction and interna...
متن کاملA Fall Detection System based on the Type II Fuzzy Logic and Multi-Objective PSO Algorithm
The Elderly health is an important and noticeable issue; since these people are priceless resources of experience in the society. Elderly adults are more likely to be severely injured or to die following falls. Hence, fast detection of such incidents may even lead to saving the life of the injured person. Several techniques have been proposed lately for the fall detection of people, mostly cate...
متن کامل