Hand Gesture Recognition System for In-car Device Control Based on Infrared Array Sensor

Shigeyuki Tateno, Yiwei Zhu, Fanxing Meng

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

Nowadays, with the development of automotive industry, more and more functions and devices are assembled in cars to improve driving experience. Meanwhile, traffic accidents are increasing in recent years. Operations of in-car device human machine interface (HMI) will cause lack of concentration, which is a major cause of the accidents. Common in-car device HMI systems are based on optics, acoustics, and so on, which are faced with environment limitations such as influenced by illumination conditions. In order to deal with these limitations, in this paper, an infrared array sensor is applied to construct a hand gesture recognition system for in-car devices control. The proposed system can overcome disadvantages of other systems and has a wider application. In the system, seven different shapes of hand and movement toward four directions are combined to achieve the aim of device operations. In data processing, convolutional neural network (CNN) is applied to realize recognition. Simulated experiments are conducted to verify the feasibility of this system.

本文言語English
ホスト出版物のタイトル2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ701-706
ページ数6
ISBN(電子版)9784907764678
DOI
出版ステータスPublished - 2019 9
イベント58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019 - Hiroshima, Japan
継続期間: 2019 9 102019 9 13

出版物シリーズ

名前2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019

Conference

Conference58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019
国/地域Japan
CityHiroshima
Period19/9/1019/9/13

ASJC Scopus subject areas

  • 人工知能
  • 産業および生産工学
  • 安全性、リスク、信頼性、品質管理
  • 制御と最適化
  • 器械工学

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