A Quantitative Model to Evaluate Wrist-Rotation in Golf (P1)
Sport training represents the body’s adaptation to conditions of certain exercises. One can achieve considerable progress in a sport with the aid of appropriate exercises and training methods. The quality and organization of the training typically inﬂuences degree of ﬁnal proﬁciency and the speed with which this proﬁciency is achieved. Feedback becomes essential for training when new plans are structured in order to make incremental progress by practicing sport skills.
Sport-speciﬁc coaching systems have allocated interestlately,leading to the development of frameworks which are capable of acquiring and processing physiological and behavioral variables for a given sport. Advancements in microelectronics and wireless communication have enabled the design of light-weight embedded sensory devices. Ability of wireless sensor platfroms to perform computations, store necessary data, and communicate within a short range make them attractive for the development of wearable systems. In particular, sport training systems aim to incorporate either off-body devices placed in the environment oracom position of embedded devices within the sports equipment and on-body sensors. In this paper,we investigate how such a coaching system can be designed to provide feedback to novice golf players.
The popular sport of golf requires a complicated sequence of motions to swing the golf club properly with the primary goal of propelling the golf ball a certain distanceinadesireddirection.A prope rgolf swing can make the difference between a long straight ball ﬂight and a shorter hook or slice as a result of an improper swing. A repeatable and consistent golf swing can also dramatically improve a golfer’s score. However, this single movement which has such a major impact on the player’s overall game is difﬁcult to master and execute consistently for players who are new to the sport or have little experience.
To make matters worse, certain variables, such as which club is used, where the player wants to place the ball on the golf course, and the current wind conditions cause how the swing is executed from one swing to the next. To resolve all of these complications, players who are serious about their game seek out instructors, golf instructional books, or other training aids to help them to obtain the “perfect” golf swing. These players can potentially beneﬁt from wearable coaching systems where information on the quality of the performed swing can be provided inreal-time.Such a system must be mobile to be usable at the location where the sport takes place.
In this paper, we describe a system that qualitatively analyzes the golf driver swing using a body sensor network (BSN). We describe the design requirement sand the information processing ﬂow for a golf swing training system capable of detecting mistakes new players make in executing a good golf swing. Our system is developed to assess the quality of a golf swing with respect to incorrect movements. Wrist rotation is among most common mistakes in golf, which causes the ball to ﬂy either to the right or left of the target line. We place embedded sensor nodes on the player’s upper body and the golf club to monitor the acceleration and angular velocities of those points during the swing. The system can be used to assist the player in developing a correct swing in four major segments of golf swing: takeaway, backswing, downswing and follow-through. The sensor nodes collect data for the sequence of actions in a swing which is then preprocessed locally to facilitate subsequent in network operations. The data is then sent to a base-station for further analysis. At the base station, the quality of each segmentis expressed as the amount of deviations from target line. Our experiments demonstrate that our system is capable of quantifying a golf swing with respect to wrist rotation. This information can then be provided as feedback to the player to help them pinpoint which parts of their swing may need practice. This information can also help the player determine if any improvement was achieved.