Robotics Vehicle Controlled by Hand Gesture Using Pic Microcontroller

This project involves the development of a robotic vehicle controlled by hand gestures using a PIC microcontroller. The system consists of a gesture detection unit with an accelerometer mounted on a glove and a robotic vehicle that responds to the detected movements. Hand gestures are captured, processed, and transmitted wirelessly to the vehicle, where the PIC microcontroller interprets the signals and controls the motors accordingly.The setup offers an intuitive and user-friendly way to control robotic movement, with applications in automation, assistive technology, and remote operations. The system is cost-effective, responsive, and demonstrates the potential of gesture-based human-machine interaction.

Authors

Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-05-22
DOI
https://doi.org/10.47392/irjaem.2025.0295
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Robotics Vehicle Controlled by Hand Gesture Using Pic Microcontroller

Sandip Sabale, Shivanand Jadhav, Sakshi Santosh Nigade, Trupti Ranjit Jagtap
International Research Journal on Advanced Engineering and Management (IRJAEM)
Hand Gesture Recognition Systems
article

Robotics Vehicle Controlled by Hand Gesture Using Pic Microcontroller

Sandip Sabale, Shivanand Jadhav, Sakshi Santosh Nigade, Trupti Ranjit Jagtap
article en

Abstract

This project involves the development of a robotic vehicle controlled by hand gestures using a PIC microcontroller. The system consists of a gesture detection unit with an accelerometer mounted on a glove and a robotic vehicle that responds to the detected movements. Hand gestures are captured, processed, and transmitted wirelessly to the vehicle, where the PIC microcontroller interprets the signals and controls the motors accordingly.The setup offers an intuitive and user-friendly way to control robotic movement, with applications in automation, assistive technology, and remote operations. The system is cost-effective, responsive, and demonstrates the potential of gesture-based human-machine interaction.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(05)
Openalex Percentile: Top 90%
Hand Gesture Recognition Systems
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