Arduino Empowered: Smart Glove Review and Analysis

Year : 2024 | Volume :11 | Issue : 01 | Page : –
By

Amol Nivrutti Godase

Akshay Santosh Shinde

Yash Navnath Shinde

Anil Jagannath Karanavar

Aditya Appa Devkule

  1. Professor Department of Electrical Engineering, SKN Sinhgad College of Engineering Pandharpur Maharashtra India
  2. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Pandharpur Maharashtra India
  3. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Pandharpur Maharashtra India
  4. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Pandharpur Maharashtra India
  5. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Pandharpur Maharashtra India

Abstract

In recent years, there has been a growing interest in wearable technology, particularly in the realm of human-computer interaction (HCI). Smart gloves, equipped with various sensors and actuators, have emerged as a promising interface for facilitating seamless interaction between humans and digital devices. This paper presents the development of Arduino-based smart gloves designed to augment conventional HCI methods by incorporating gesture recognition and tactile feedback capabilities. The smart gloves feature an array of sensors, including flex sensors, accelerometers, and gyroscopes, strategically integrated into the glove fabric to capture hand movements accurately. These sensors detect finger flexion, hand orientation, and gesture patterns, enabling intuitive and precise control over connected devices. The Arduino microcontroller processes the sensor data in real-time, implementing algorithms for gesture recognition and mapping specific gestures to predefined commands or actions. Moreover, smart gloves are enhanced with haptic feedback modules, such as vibrotactile motors, to provide users with tactile sensations corresponding to interactions with digital interfaces. This tactile feedback enriches the user experience by offering confirmation and guidance during interactions, thus improving usability and accessibility, especially in scenarios where visual or auditory feedback may be limited or impractical.

Keywords: Flex sensor, Arduino, Hand Gloves, microcontroller, Internet of things (IoT)

[This article belongs to Journal of Microcontroller Engineering and Applications(jomea)]

How to cite this article: Amol Nivrutti Godase, Akshay Santosh Shinde, Yash Navnath Shinde, Anil Jagannath Karanavar, Aditya Appa Devkule. Arduino Empowered: Smart Glove Review and Analysis. Journal of Microcontroller Engineering and Applications. 2024; 11(01):-.
How to cite this URL: Amol Nivrutti Godase, Akshay Santosh Shinde, Yash Navnath Shinde, Anil Jagannath Karanavar, Aditya Appa Devkule. Arduino Empowered: Smart Glove Review and Analysis. Journal of Microcontroller Engineering and Applications. 2024; 11(01):-. Available from: https://journals.stmjournals.com/jomea/article=2024/view=151239

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References

  • Akshay D.R. Schneider Electric, Bangalore, K. Uma Rao, RV College of Engineering, Bangalore, “Low-Cost smart hand glove for Physically Challenged”, June 13,2011.
  • Ali, S. Munawwar, B. Nadeem, “Electronic Speaking Glove for Speechless Patients”, August 2010.
  • P. Bhatti, A. Baqai, B. S. Chowdhry, M. A. Unar, “Electronic Hand Glove for Speech Impaired and Paralyzed Patients”, EIR Magazine, May 2009.
  • Wald, “Captioning for Deaf and Hard of Hearing People by Editing Automatic Speech Recognition in Real Time”, May 2017.
  • Swapnil Takale, and; Dr. Altaaf Mulani. (2022). DWT-PCA based Video Watermarking. Journal of Electronics, Computer Networking and Applied Mathematics (JECNAM) ISSN : 2799-1156, 2(06), 1–7.
  • Swapnil Takale, Dr. Altaaf Mulani, “Video Watermarking System”, International Journal for Research in Applied Science and; Engineering Technology (IJRASET),
  • Altaf Mulani Swapnil Takale, “A video watermarking technique with video and image as watermark using DWT and PCA”Journal of Northeastern University, Vol 25 Page No. 1005-3026, Volume 10, Issue III, Mar-2022.
  • Mulani, A. O., and; Mane, P. B. (2017). Watermarking and cryptography based imageauthentication on reconfigurable platform. Bulletin of Electrical Engineering and Informatics, 6(2), 181-187.
  • Deshpande, H. S., Karande, K. J., and; Mulani, A. O. (2014, April). Efficient implementation of AES algorithm on FPGA. In 2014 International Conference on Communication and Signal Processing (pp. 1895-1899). IEEE.
  • Swami, S. S., and; Mulani, A. O. (2017, August). An efficient FPGA implementation of discrete wavelet transform for image compression. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 3385-3389). IEEE.
  • Mane, P. B., and; Mulani, A. O. (2018). High speed area efficient FPGA implementation of AES algorithm. International Journal of Reconfigurable and Embedded Systems, 7(3), 157-165.
  • Kulkarni, P. R., Mulani, A. O., and; Mane, P. B. (2017). Robust invisible watermarking for image authentication. In Emerging Trends in Electrical, Communications and Information Technologies: Proceedings of ICECIT-2015(pp. 193-200). Springer Singapore.
  • Mulani, A. O., and; Mane, P. B. (2016). Area efficient high speed FPGA based invisible watermarking for image authentication. Indian journal of Science and Technology.
  • Kashid, M. M., Karande, K. J., and; Mulani, A. O. (2022, November). IoT-based environmental parameter monitoring using machine learning approach. In Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 1 (pp. 43-51). Singapore: Springer Nature Singapore.
  • Mulani, A. O., and; Mane, D. P. (2017). An Efficient implementation of DWT for image compression on reconfigurable platform. International Journal of Control Theory and Applications, 10(15), 1-7.
  • Mandwale, A. J., and; Mulani, A. O. (2015, January). Different Approaches for Implementation of Viterbi decoder on reconfigurable platform. In 2015 International Conferenceon Pervasive Computing (ICPC) (pp. 1-4). IEEE.
  • Nagane, U. P., and; Mulani, A. O. (2021). Moving object detection and tracking usingMatlab. Journal of Science and Technology, 6, 86-89.
  • Jadhav, M. M. et al (2021). Machine learning based autonomous fire combat turret.Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(2), 2372-2381.
  • Mane, D. P., and; Mulani, A. O. (2019). High throughput and area efficient FPGAimplementation of AES algorithm. International Journal of Engineering and AdvancedTechnology, 8(4).
  • Mulani, A. O., and; Shinde, G. N. (2021). An approach for robust digital imagewatermarking using DWT‐PCA. Journal of Science and Technology, 6(1).
  • Shinde, G., and; Mulani, A. (2019). A robust digital image watermarking using DWT-PCA. International Journal of Innovations in Engineering Research and Technology, 6(4), 1-7.
  • Kalyankar, P. A., Mulani, A. O., Thigale, S. P., Chavhan, P. G., and; Jadhav, M. M. (2022). Scalable face image retrieval using AESC technique. Journal of Algebraic Statistics, 13(3), 173-176.
  • Kulkarni, P., and; Mulani, A. O. (2015). Robust invisible digital image watermarking using discrete wavelet transform. International Journal of Engineering Research and; Technology (IJERT), 4(01), 139-141.
  • Mulani, A. O., and; Mane, D. P. (2018). Secure and area efficient implementation of digital image watermarking on reconfigurable platform. International Journal of Innovative Technology and Exploring Engineering, 8(2), 56-61.
  • Deshpande, H. S., Karande, K. J., and Mulani, A. O. (2015, April). Area optimizedimplementation of AES algorithm on FPGA. In 2015 International Conference on Communications and Signal Processing (ICCSP) (pp. 0010-0014). IEEE.
  • Ghodake, M. R. G., and; Mulani, M. A. (2016). Sensor based automatic drip irrigationsystem. Journal for Research, 2(02).
  • Mulani, A. O., and; Mane, P. B. (2019). High-Speed area-efficient implementation of AES algorithm on reconfigurable platform. Computer and Network Security, 119.
  • Mulani, A. O., and; Mane, P. B. (2014, October). Area optimization of cryptographicalgorithm on less dense reconfigurable platform. In 2014 International Conference on SmartStructures and Systems (ICSSS) (pp. 86-89). IEEE.
  • Takale, S., and; Mulani, A. (2022). DWT-PCA Based Video Watermarking. Journal ofElectronics, Computer Networking and Applied Mathematics (JECNAM) ISSN, 2799-1156.
  • Patale, J. P., Jagadale, A. B., Mulani, A. O., and; Pise, A. (2023). A Systematic survey on Estimation of Electrical Vehicle. Journal of Electronics, Computer Networking and AppliedMathematics (JECNAM) ISSN, 2799-1156.
  • Mulani, A. O., Jadhav, M. M., and; Seth, M. (2022). Painless machine learning approach to estimate blood glucose level with non-invasive devices. In Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications (pp. 83-100). CRC Press.
  • Kondekar, R. P., and; Mulani, A. O. (2017). Raspberry Pi based voice operated Robot.International Journal of Recent Engineering Research and Development, 2(12), 69-76.
  • Maske, Y., Jagadale, A. B., Mulani, A. O., and; Pise, A. C. (2023). Development of BIOBOT System to Assist COVID Patient and Caretakers. European Journal of Molecular and Clinical Medicine, 3472-3480.
  • Maske, Y., Jagadale, M. A., Mulani, A. O., and; Pise, M. A. (2021). Implementation ofBIOBOT System for COVID Patient and Caretakers Assistant Using IOT. International Journal of Information Technology and;Amp, 30-43.
  • Jadhav, H. M., Mulani, A., and; Jadhav, M. M. (2022). Design and development of chatbot based on reinforcement learning. Machine Learning Algorithms for Signal and Image Processing, 219-229.
  • Gadade, B., and; Mulani, A. (2022). Automatic System for Car Health Monitoring.International Journal of Innovations in Engineering Research and Technology, 57-62.
  • Kamble, A., and; Mulani, A. O. (2022). Google assistant based device control. Int. J. of Aquatic Science, 13(1), 550-555.
  • Mandwale, A., and; Mulani, A. O. (2015, January). Different Approaches forImplementation of Viterbi decoder. In IEEE International Conference on Pervasive Computing (ICPC).
  • Mulani, A. O., Jadhav, M. M., and; Seth, M. (2022). Painless Non‐invasive blood glucose concentration level estimation using PCA and machine learning. The CRC Book entitled Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications. Internet of Things (IoT) and Smart Materials for Energy Applications.
  • Boxey, A., Jadhav, A., Gade, P., Ghanti, P., and; Mulani, A. O. (2022). Face Recognition using Raspberry Pi. Journal of Image Processing and Intelligent Remote Sensing (JIPIRS) ISSN 2815-0953.
  • Takale, S., and; Mulani, D. A. Video Watermarking System. International Journal forResearch in Applied Science and; Engineering Technology (IJRASET), 10.
  • Shinde, M. R. S., and; Mulani, A. O. (2015). Analysisof Biomedical Image Using Wavelet Transform. International Journal of Innovations in Engineering Research and Technology, 2(7), 1-7.
  • Mandwale, A., and; Mulani, A. O. (2014, December). Implementation of Convolutional Encoder and; Different Approaches for Viterbi Decoder. In IEEE International Conference on Communications, Signal Processing Computing and Information technologies.
  • Ghodake, R. G., and; Mulani, A. O. (2018). Microcontroller Based Automatic Drip Irrigation System. In Techno-Societal 2016: Proceedings of the International Conference on Advanced Technologies for Societal Applications (pp. 109-115). Springer International Publishing.
  • Mulani, A. O., and; Mane, P. B. (2016), “Fast and Efficient VLSI Implementation of DWT for Image Compression”, International Journal of Control Theory and Applications, 9(41),pp.1006-1011.
  • Shinde, R., and; Mulani, A. O. (2015). Analysis of Biomedical Image‖. International Journal on Recent and; Innovative trend in technology (IJRITT).
  • Patale, J. P., Jagadale, A. B., Mulani, A. O., and; Pise, A. (2022). Python Algorithm toEstimate Range of Electrical Vehicle. Telematique, 7046-7059.
  • Utpat, V. B., Karande, D. K., and; Mulani, D. A. Grading of Pomegranate Using QualityAnalysis‖. International Journal for Research in Applied Science and; Engineering Technology (IJRASET), 10.
  • Mulani, A. O., Jadhav, M. M., and; Seth, M. (2022). Painless Non‐invasive blood glucoseconcentration level estimation using PCA and machine learning. The CRC Book entitled Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.
  • Mandwale, A., and; Mulani, A. O. (2016). Implementation of High Speed Viterbi Decoder using FPGA. International Journal of Engineering Research and; Technology﴾ IJERT.
  • Kambale, A. (2023). HOME AUTOMATION USING GOOGLE ASSISTANT. UGC care approved journal, 32(1).
  • Sawant, R. A., and; Mulani, A. O. Automatic PCB Track Design Machine. International Journal of Innovative Science and Research Technology, 7(9).
  • ABHANGRAO, M. R., JADHAV, M. S., GHODKE, M. P., and; MULANI, A. Design And Implementation Of 8-bit Vedic Multiplier. JournalNX, 24-26.
  • Seth, M. (2022). Painless Machine learning approach to estimate blood glucose level of Non-Invasive device. Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.
  • Korake, D. M., and; Mulani, A. O. (2016). Design of Computer/Laptop Independent Datatransfer system from one USB flash drive to another using ARM11 processor. International Journal of Science, Engineering and Technology Research.
  • Mulani, A. O., Birajadar, G., Ivković, N., Salah, B., and; Darlis, A. R. (2023). Deep learning based detection of dermatological diseases using convolutional neural networks and decision trees. Treatment du Signal, 40(6), 2819-2825.
  • Pathan, A. N., Shejal, S. A., Salgar, S. A., Harale, A. D., and; Mulani, A. O. (2022). Hand Gesture Controlled Robotic System. Int. J. of Aquatic Science, 13(1), 487-493.
  • Altaf O. Mulani. (2024). A Comprehensive Survey on Semi-Automatic Solar-Powered Pesticide Sprayers for Farming. Journal of Energy Engineering and Thermodynamics (JEET) ISSN 2815-0945, 4(02), 21–28. https://doi.org/10.55529/jeet.42.21.28
  • Sandeep Kedar and A. O. Mulani (2024), IoT Based Soil, Water and Air Quality Monitoring System for Pomegranate Farming, NATURALISTA CAMPANO, Vol. 28, Issue 1.
  • Bhanudas Gadade, A O Mulani and A.D.Harale (2024). IOT Based Smart School Bus and Student Monitoring System. NATURALISTA CAMPANO, Vol. 28, Issue 1.
  • Anil Dhanawade, A. O Mulani and Anjali. C. Pise. (2024). Smart farming using IOT based Agri BOT. NATURALISTA CAMPANO, Vol. 28, Issue 1.
  • Shweta Sadanand Salunkhe and Dr. Altaf O. Mulani. (2024). Solar Mount Design Using High-Density Polyethylene. NATURALISTA CAMPANO, Vol. 28, Issue 1.
  • Sarda, M., Deshpande, B., Deo, S., & Karanjkar, R. (2018). A comparative study on Maslow’s theory and Indian Ashrama system.”. International Journal of Innovative Technology and Exploring Engineering, 8(2), 48-50.
  • Deo, S., and; Deo, S. (2019). Cybersquatting: Threat to domain name. International Journal of Innovative Technology and Exploring Engineering, 8(6), 1432-1434.
  • Shambhavee, H. M. (2019). Cyber-Stalking: Threat to People or Bane to Technology. International Journal on Trend in Scientific Research and Development, 3(2), 350-355.
  • Deo, S., and; Deo, D. S. (2019). Domain name and its protection in India. International Journal of Recent Technology and Engineering.
  • Sarda, M., Deshpande, B., Deo, S., and ; Pathak, M. A. (2018). Intellectual Property And Mechanical Engineering-A Study Emphasizing The Importance Of Knowledge Of Intellectual Property Rights Amongst Mechanical Engineers. International Journal of Social Science and Economic Research, 3(12), 6591-6596.
  • Literature Survey on Digital Glove for Gesture Recognition, IOSR Journal of Engineering (IOSRJEN) www.iosrjen.orgISSN (e): 2250-3021, ISSN (p): 2278-8719Vol. 09, Issue 5 (May. 2019), ||S (VIII) || PP 10-12
  • SMART GLOVE USING ARDUINO WITH SIGN LANGUAGE RECOGNITION SYSTEM, Vol-6 Issue-2 2020 IJARIIE-ISSN(O)-2395-4396 1Vismaya A P, 2 Sariga B P, 3Keerthana sudheesh P C, 4Manjusha T S Department Of Electronics and Instrumentation Engineering KMEA Engineering College, Kerala, India
  • GESTURE-BASED SMART HAND GLOVES FOR DISABLED PERSONS M. Teja Sai Chand1, D. Dilip Kumar2, E. Sai Koushik3, L.V.R Chaitanya Prasad4 International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072.
Regular Issue Subscription Review Article
Volume 11
Issue 01
Received May 3, 2024
Accepted May 18, 2024
Published May 31, 2024
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