Citation :

Manoj Kumar Mukul, Nitish Kumar, Mukesh Kumar Ojha, Yogesh Pratap Singh, Rajkishore Prasad, "EMG-Based HMI to Control a Robotic Car," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 8, pp. 359-380, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I8P124

Abstract

A Human-Machine Interface (HMI) is a user interface that allows people to control a machine, carry out a task, and receive feedback from the machine to adjust their control. This paper examines the use of Electromyogram (EMG) signals for machine control via wireless command transmission. The EMG signal includes various muscle responses. The challenge in processing the EMG signal comes from the transient muscle response, which has an unknown arrival time, duration, and shape. The EMG-based Human-Machine interface (HMI) has attracted much attention because it can convert muscle activity into usable control signals. This paper describes the design and implementation of a single-chip platform for an EMG-controlled system to achieve a small, effective and responsive control interface. The development of on-chip real-time processing for EMG-based HMI systems removes the need for an external computer or server. A complete embedded system has been created to control an external car using EMG signals. Different commands are also generated to manage the car's movements. This paper focuses on building a real-time embedded system to control the external car by analyzing hand muscle signals to create commands based on the envelope of both muscle signals. The proposed method for processing EMG signals in a real-time, low-cost system is part of the HMI system, and we discuss its future potential. With the new system, performance accuracy is over 90% in real time.

Keywords

HMI, EMG, Embedded system, Real-Time signal processing.

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