Adjustment of Bed for a Patient through Gesture Recognition: An Image Processing Approach

被引:0
|
作者
Fayyaz, Sajida [1 ]
Gondal, Hafiz Ali Hamza [1 ]
Bukhsh, Rubab [1 ]
Tahir, Sidra [1 ]
Khan, Muhammad Adnan [1 ]
机构
[1] Univ Lahore, Dept Comp Sci, Sargodha, Pakistan
关键词
Human computer interaction; image processing; hand gesture recognition; Arduino UNO; OpenCV;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Human computer interaction is essential part of daily life. Hand gesture recognition is main implementation in this field. This paper signifies a problem of controlling hospital's bed position by using hand gesture. If the patient is alone in a hospital room and no one present with him/her to change the position of bed then a patient can change the angle of bed by using hand gesture. To perform this action in a real time, we need an interactive application for hand gesture recognition. For this real time system webcams are used which create computer vision system and enable hand gesture method for human computer interaction. DC motor is connected with Arduino UNO kit and patient's bed which will change the position of bed with respect to recognized hand gestures. The system is based on OpenCV library and image processing methods. Our goal is to demonstrate a real time system to change the positions of bed by hand gesture signs using a webcam and simple hardware components.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] A Novel Approach to Human Gesture Recognition
    Shahi, Bhavya
    Goyal, Mansi
    Prema, K., V
    Reddy, N. V. Subba
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON), 2017, : 109 - 115
  • [22] mXception and dynamic image for hand gesture recognition
    Bhumika Karsh
    Rabul Hussain Laskar
    Ram Kumar Karsh
    Neural Computing and Applications, 2024, 36 : 8281 - 8300
  • [23] Human Gesture Recognition Based on Image Sequences
    Li Huan
    Ren Bo
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 8388 - 8392
  • [24] Hand gesture recognition, a stochastic approach
    Teruel, LE
    Kubushyna, O
    Yfantis, EA
    Stubberud, PA
    Hwang, CJ
    Bebis, G
    Boyle, R
    PROCEEDINGS OF THE ISCA 12TH INTERNATIONAL CONFERENCE INTELLIGENT AND ADAPTIVE SYSTEMS AND SOFTWARE ENGINEERING, 2003, : 140 - 143
  • [25] mXception and dynamic image for hand gesture recognition
    Karsh, Bhumika
    Laskar, Rabul Hussain
    Karsh, Ram Kumar
    NEURAL COMPUTING & APPLICATIONS, 2024, 36 (15): : 8281 - 8300
  • [26] Gesture recognition using image comparison methods
    Dreuw, P
    Keysers, D
    Deselaers, T
    Ney, H
    GESTURE IN HUMAN-COMPUTER INTERACTION AND SIMULATION, 2006, 3881 : 124 - 128
  • [27] Human-interface by recognition of human gesture with image processing - Recognition of speed change and rapid reaction on motion change
    Torige, A
    Kuno, K
    RO-MAN '96 - 5TH IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN COMMUNICATION, PROCEEDINGS, 1996, : 250 - 255
  • [28] A TEMPLATE POLYNOMIAL APPROACH FOR IMAGE-PROCESSING AND VISUAL RECOGNITION
    QIAN, K
    BHATTACHARYA, P
    PATTERN RECOGNITION, 1992, 25 (12) : 1505 - 1515
  • [29] A new approach to image processing based on the methodology of pattern recognition
    Sergeyev, VV
    COMPUTER AND HOLOGRAPHIC OPTICS AND IMAGE PROCESSING, 1998, 3348 : 238 - 245
  • [30] Recognition of plant's leaf infection by image processing approach
    Padma, Uppalapati
    Jagadish, Samudrala
    Singh, Mahesh K.
    MATERIALS TODAY-PROCEEDINGS, 2022, 51 : 914 - 917