Smartifying Martial Arts: Lightweight Triboelectric Nanogenerator as a Self-Powered Sensor for Accurate Judging and AI-Driven Performance Analysis

The fast-paced and high-impact nature of martial arts makes judging these competitions challenging. Judgment accuracy is improved through the smartification of these sports, and athletes’ training quality can also be quantitatively measured. Smartification enables the identification of strengths and weaknesses in athletes, allowing the coach to tailor precise training programs for them. A flexible and lightweight triboelectric nanogenerator (FL-TENG), which operates in single-electrode mode, was fabricated using polyethylene (PE) foam, silicone rubber, and carbon fiber (CF). The FL-TENG has the potential to be integrated as a self-powered sensor into martial arts training and protective equipment due to its similarity in constituent materials. It can detect the power and location of applied strikes, identifying weak strikes that do not score points or foul strikes. A sample of the FL-TENG measuring <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> cm2 generates a voltage of 21.5 V under a force of 22 N. Since these self-powered sensors operate independently of external power sources, they can be used in large numbers and diverse dimensions in various equipment, enabling the generation of comprehensive and diverse datasets. Given the numerous advantages of artificial intelligence (AI) over human intelligence (HI), AI can be utilized to analyze these datasets. As a roadmap for incorporating AI in the smartification of combat sports, 40 experimental matches were conducted, and 80 heat maps that include the patterns of strikes from both winning and losing players were extracted. 80% of the maps were used for training, while the remaining 20% were identified with 93.75% accuracy by machine learning (ML). The brilliant results obtained from this research herald a revolutionary breakthrough in smartifying combat sports.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-08-26
DOI
https://doi.org/10.1109/jsen.2024.3443229
Citations
10
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartifying Martial Arts: Lightweight Triboelectric Nanogenerator as a Self-Powered Sensor for Accurate Judging and AI-Driven Performance Analysis

Milad Yousefizad, Negin Manavizadeh, Hassan Ahmadi
10 citations
IEEE Sensors Journal
Advanced Sensor and Energy Harvesting Materials
1.84
article

Smartifying Martial Arts: Lightweight Triboelectric Nanogenerator as a Self-Powered Sensor for Accurate Judging and AI-Driven Performance Analysis

Milad Yousefizad, Negin Manavizadeh, Hassan Ahmadi
article en
10 citations

Abstract

The fast-paced and high-impact nature of martial arts makes judging these competitions challenging. Judgment accuracy is improved through the smartification of these sports, and athletes’ training quality can also be quantitatively measured. Smartification enables the identification of strengths and weaknesses in athletes, allowing the coach to tailor precise training programs for them. A flexible and lightweight triboelectric nanogenerator (FL-TENG), which operates in single-electrode mode, was fabricated using polyethylene (PE) foam, silicone rubber, and carbon fiber (CF). The FL-TENG has the potential to be integrated as a self-powered sensor into martial arts training and protective equipment due to its similarity in constituent materials. It can detect the power and location of applied strikes, identifying weak strikes that do not score points or foul strikes. A sample of the FL-TENG measuring <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> cm2 generates a voltage of 21.5 V under a force of 22 N. Since these self-powered sensors operate independently of external power sources, they can be used in large numbers and diverse dimensions in various equipment, enabling the generation of comprehensive and diverse datasets. Given the numerous advantages of artificial intelligence (AI) over human intelligence (HI), AI can be utilized to analyze these datasets. As a roadmap for incorporating AI in the smartification of combat sports, 40 experimental matches were conducted, and 80 heat maps that include the patterns of strikes from both winning and losing players were extracted. 80% of the maps were used for training, while the remaining 20% were identified with 93.75% accuracy by machine learning (ML). The brilliant results obtained from this research herald a revolutionary breakthrough in smartifying combat sports.

IEEE Sensors JournalVol. 24(19)
K. N. Toosi University of Technology (IR)
Openalex Percentile: Top 15%
Advanced Sensor and Energy Harvesting Materials
1.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.