본문 바로가기
  • Home

A Lifelog Posture Estimation Web Program Using Arduino and FSR402 Sensors

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(11), pp.251-258
  • DOI : 10.9708/jksci.2024.29.11.251
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 25, 2024
  • Accepted : November 26, 2024
  • Published : November 29, 2024

Ae-Ri Jung 1 Min-Seok Song 2 Hyun-Seo Shin 2 Youngbok Cho 3

1대전대학교 정보보안학과
2대전대학교
3안동대학교

Accredited

ABSTRACT

In this paper, we propose a posture correction system using the Arduino FSR402 sensor and Skeleton Keypoint artificial intelligence model. In anticipation of the introduction of AI Digital Textbook (AIDT), which will be fully implemented from 2025 under the 2022 curriculum reform, the need for research to raise awareness of the risk of digital diseases among children and adolescents and to prevent them is emphasized. The proposed system learns the correct posture for each user based on their life log information and helps them maintain good posture by determining whether they are using a smart device correctly and guiding them. In particular, for children and adolescents who experience physical changes, it has the advantage of learning the changed body information from the Skeleton Keypoint artificial intelligence model to guide the appropriate posture, and it can be confirmed that the sensor's measurement value operates normally within the error range (average error 2.53%) in measuring the correct posture for each user.

Citation status

* References for papers published after 2023 are currently being built.