Open Access Open Access  Restricted Access Subscription or Fee Access

Advances in Hand Gesture Recognition for Interactive Media Player Control: A Review

Chaudhary Gaurav, Vikash Maddheshiya, Ajaz Ahamad, Mukesh Ram

Abstract


People want fast replies from complicated systems in today's fast-paced world, highlighting the significance of speedy interaction. As technology develops, issues with responsiveness and ease of use become more important. The study of human-computer interaction, which goes beyond conventional input devices like keyboards and mouse, is relevant in this situation. Much focus is paid to touch recognition, which is a common and natural method of interaction. The fusion of computer and touch communication creates new avenues for interaction. The study describes a low-cost solution that uses hand gesture detection to operate the VLC video player, increasing productivity and enabling users to conveniently operate their laptops and desktop computers from a distance. The frequently utilised VLC features that are triggered by preset touches are highlighted. Human-Computer Interaction (HCI) offers us a solution by studying the design and application of computer technology, which incorporates the use of human gestures, which comprise a space of motion expressed by the body, face, and/or hands.


Full Text:

PDF

References


Oudah M, Al-Naji A, Chahl J. Hand Gesture Recognition Based on Computer Vision: A Review of Techniques. J Imaging. 2020 Jul 23; 6(8): 73. doi: 10.3390/jimaging6080073. PMID: 34460688; PMCID: PMC8321080.

Karapinar Senturk Z, Bakay MS. Machine Learning Based Hand Gesture Recognition via EMG Data. Adv Distrib Comput Artif Intell J (ADCAIJ). 2021; 10(2): 123–136. https://doi.org/10.14201/

ADCAIJ2021102123136.

Bakheet S, Al-Hamadi A. Robust hand gesture recognition using multiple shape-oriented visual cues. J Image Video Proc. 2021; 2021: 26. https://doi.org/10.1186/s13640–021–00567–

Abhilash Dayanandan, Akshay Chakkungal, Anooj Kommeri, Deepak Koppuliparam Bil, Prashant Nitnaware. Gesture Controlled Media Player using TinyYoloV3. Int Res J Eng Technol (IRJET). 2020 May; 07(05): 3006–3011. https://www.irjet.net/archives/V7/i5/IRJET–V7I5573.pdf.

Pinto Raimundo F, Borges Carlos DB, Almeida Antônio MA, Paula Iális C. Static Hand Gesture Recognition Based on Convolutional Neural Networks. J Electr Comput Eng. 2019; 2019: 4167890(12p). https://doi.org/10.1155/2019/4167890

Moin A, Zhou A, Rahimi A, Menon A, Benatti S, Alexandrov G, Tamakloe S, Ting J, Yamamoto N, Khan Y, Burghardt F, Benini L, Arias AC, Rabaey JM. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat Electron. 2021; 4(1): 54–63.

Sharma RP, Verma GK. Human computer interaction using hand gesture. Procedia Comput Sci. 2015 Jan 1; 54: 721–7.

Rautaray SS, Agrawal A. A novel human computer interface based on hand gesture recognition using computer vision techniques. In Proceedings of the 1st International Conference on Intelligent Interactive Technologies and Multimedia. 2010 Dec 27; 292–296.

Agarwal S, Umer S. Mp-feg: media player controlled by facial expressions and gestures. In 2015 IEEE 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG). 2015 Dec 16; 1–4.

Rautaray SS. Real time hand gesture recognition system for dynamic applications. Int J UbiComp (IJU). 2012 Jan; 3(1): 21–31.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Journal of Control & Instrumentation



eISSN: 2229-6972