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Investigating Gesture Control of Robotic Arm via Lora Technology for Smart Cities

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Wireless Networks

Abstract

This paper aim to establish gesture control of robotic arm utilizing long range (LoRa) technology to enhance the signal’s range while facilitating low power consumption which is achievable because the device is in continuous sleep mode and only activates when it needs to send a message. This paper was carried out by constructing a hand sensing glove with sensors and accelerometer to send signals to the robotic arm, incorporating the LoRa technology as the transmission module for transferring the signal and programming a microcontroller that processes sensor data and direct robotics arm movement. This technology has been adopted in IoT applications and found relevance when facilitating long range, low power consumption, and low cost. Notwithstanding, the shortcomings of this technology is discussed briefly in this paper. The goal of this study is to build gesture control of a robotic arm using long range (LoRa) technology to increase signal range while allowing for low power consumption, which is possible because the device is in continuous sleep mode and only activates when a message needs to be sent. This paper was completed by building a hand sensing glove with sensors and an accelerometer to deliver signals to a robotic arm, using LoRa technology as the signal transmission module, and developing a microcontroller that interprets sensor data and directs robotic arm movement. This technology has been used in IoT applications and has proven useful in enabling extended range, low power consumption, and low cost. Nonetheless, the drawbacks of this technique are briefly highlighted in this paper.

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Authors and Affiliations

  1. Anglia Ruskin University, Cambridge, UK

    Amaechi Stanley Okoro, Sufian Yousef & Akram Qashou

Authors
  1. Amaechi Stanley Okoro
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  2. Sufian Yousef
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  3. Akram Qashou
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Correspondence to Sufian Yousef .

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Editors and Affiliations

  1. Department of Information Security and Cyber Criminology, Northumbria University London, London, UK

    Hamid Jahankhani

  2. Department of Computer Science and Engineering, University of Westminster, London, UK

    Ayman El Hajjar

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Okoro, A.S., Yousef, S., Qashou, A. (2023). Investigating Gesture Control of Robotic Arm via Lora Technology for Smart Cities. In: Jahankhani, H., El Hajjar, A. (eds) Wireless Networks . Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-33631-7_3

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