An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis
This study introduces an innovative integration of Laban Movement Analysis (LMA) with biomechanical principles to examine the golf swing dynamics from an ecological perspective. Traditionally, LMA focuses on the qualitative aspects of movement, often isolated from external influences. This research...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/21/6845 |
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| author | Wangdo Kim Albert H. Vette Wanda Ottes Colleen Wahl |
| author_facet | Wangdo Kim Albert H. Vette Wanda Ottes Colleen Wahl |
| author_sort | Wangdo Kim |
| collection | DOAJ |
| description | This study introduces an innovative integration of Laban Movement Analysis (LMA) with biomechanical principles to examine the golf swing dynamics from an ecological perspective. Traditionally, LMA focuses on the qualitative aspects of movement, often isolated from external influences. This research bridges that gap by investigating how golfers manage and adapt to the inertial forces of the club throughout the swing. Using motion tracking sensors and screw theory, we analyzed the spatial movement pattern in the Kinesphere (mapped as an icosahedron) and related it to force dynamics in the Effort Cube through the inertia tensor. The results showed significant differences between skilled and novice golfers in terms of how efficiently they align their movements with the club’s inertia. Skilled golfers demonstrated smoother Instantaneous Screw Axes (ISAs) and better synchronization with inertia forces, while novice golfers exhibited more abrupt deviations. These findings suggest that integrating qualitative movement descriptors with biomechanical models provides deeper insights into swing efficiency, performance improvement, and injury prevention. This combined framework offers a novel method to enhance both qualitative and quantitative analysis of golf swings. |
| format | Article |
| id | doaj-art-c29e18cab59f4f9b845a61928cf1ba32 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-c29e18cab59f4f9b845a61928cf1ba322024-11-08T14:41:08ZengMDPI AGSensors1424-82202024-10-012421684510.3390/s24216845An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement AnalysisWangdo Kim0Albert H. Vette1Wanda Ottes2Colleen Wahl3Ingenieria Mecanica, Universidad de Ingenieria y Tecnologia—UTEC, Lima 15063, PeruDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, CanadaDanstec, 9832PE Den Horn, The NetherlandsIntegrated Movement Studies, Alfred University, Alfred, NY 14802, USAThis study introduces an innovative integration of Laban Movement Analysis (LMA) with biomechanical principles to examine the golf swing dynamics from an ecological perspective. Traditionally, LMA focuses on the qualitative aspects of movement, often isolated from external influences. This research bridges that gap by investigating how golfers manage and adapt to the inertial forces of the club throughout the swing. Using motion tracking sensors and screw theory, we analyzed the spatial movement pattern in the Kinesphere (mapped as an icosahedron) and related it to force dynamics in the Effort Cube through the inertia tensor. The results showed significant differences between skilled and novice golfers in terms of how efficiently they align their movements with the club’s inertia. Skilled golfers demonstrated smoother Instantaneous Screw Axes (ISAs) and better synchronization with inertia forces, while novice golfers exhibited more abrupt deviations. These findings suggest that integrating qualitative movement descriptors with biomechanical models provides deeper insights into swing efficiency, performance improvement, and injury prevention. This combined framework offers a novel method to enhance both qualitative and quantitative analysis of golf swings.https://www.mdpi.com/1424-8220/24/21/6845Laban Movement Analysisinertial tensorbiomechanical analysisscrew algebramotion tracking sensorsneurorehabilitation |
| spellingShingle | Wangdo Kim Albert H. Vette Wanda Ottes Colleen Wahl An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis Sensors Laban Movement Analysis inertial tensor biomechanical analysis screw algebra motion tracking sensors neurorehabilitation |
| title | An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis |
| title_full | An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis |
| title_fullStr | An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis |
| title_full_unstemmed | An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis |
| title_short | An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis |
| title_sort | exploratory study of a choreographic approach to golf swing dynamics bridging biomechanics and laban movement analysis |
| topic | Laban Movement Analysis inertial tensor biomechanical analysis screw algebra motion tracking sensors neurorehabilitation |
| url | https://www.mdpi.com/1424-8220/24/21/6845 |
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