Detection of Boxing Events from Acoustic Data
John Stephen.V
, Pothireddy Vidya Sagar Reddy , Syed Tameem Basha , Yogaram R A , Srivarsan Kumar.J
cloudant,architecture,acoustic ,docker,label.
Abstract— Boxing is a risky sport that incorporates punch and kick blows, with elite boxers capable of producing punches that travel at an average speed of about 25 mph. For contrast, 43 Ultimate Fighting Championship (UFC) events were staged abroad in 2021, with 509 fights having a maximum of 12 rounds, each lasting 3 minutes. Tracking the strikes taken in a fight can be difficult in boxing matches .The only component that is essentially constant and stable, making this detection feasible, is the sound component. In this study, we describe a system that examines sound data from a boxing match to identify events like punching and kicking. We begin by outlining the pipeline for processing audio and basic (atomic) event detection. After that, we go over the user interface, which provides a workbench for audio and model management as well as a device for data identification to quickly build the dataset accordingly. Our system's effectiveness is tested in studies using actual boxing punch and kick sound data and has an average accuracy and recall rate of around 82.1% p;.for atomic boxing matches. . Boxing players and coaches can locate and extract game highlights associated with specific actions using this method, which will allow them to study the highlights and enhance their performance
"Detection of Boxing Events from Acoustic Data", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.497-501, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001078.pdf
Volume 11
Issue 2,
February-2024
Pages : 497-501
Paper Reg. ID: TIJER_151050
Published Paper Id: TIJERB001078
Downloads: 000290
Research Area: Science and Technology
Country: thiruvallur ,chennai, Tamilnadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
