Augmenting the Boxing Game with Smartphone IMU-based Classification System on Waist

Fei Gu, Chengshuo Xia, Yuta Sugiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

While boxing games allow players to learn techniques at home, they seldom check players' movements. We propose tracking the players' performance by smartphone sensors and classifying punches with convolutional neural network models. As a result, we achieved accuracies of 79.2% and 84.6% for 10 participants with two experiments, implying the possibilities and facilitation of smartphone sensors in boxing classifications of people with varying experiences.

Original languageEnglish
Title of host publicationProceedings - 2022 International Conference on Cyberworlds, CW 2022
EditorsYuriko Takeshima, Alexei Sourin, Haoran Xie, Christophe Rosenberger, Olga Sourina, Kazunori Miyata
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages165-166
Number of pages2
ISBN (Electronic)9781665468145
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Cyberworlds, CW 2022 - Kanazawa, Japan
Duration: 2022 Sept 272022 Sept 29

Publication series

NameProceedings - 2022 International Conference on Cyberworlds, CW 2022

Conference

Conference2022 International Conference on Cyberworlds, CW 2022
Country/TerritoryJapan
CityKanazawa
Period22/9/2722/9/29

Keywords

  • Boxing
  • Digital assistants
  • Entertainment
  • Visual and Interactive Computing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Media Technology
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Augmenting the Boxing Game with Smartphone IMU-based Classification System on Waist'. Together they form a unique fingerprint.

Cite this