The growing popularity of gesture-based controls has revolutionized how users interact with devices, particularly in gaming. This project presents a smart glove equipped with gesture-based control using Arduino Leonardo for playing video games on a mobile phone or PC. The system integrates a power supply, Arduino Leonardo board, two flex sensors, a MEM (Motion) sensor, and a glove to enable gesture-based interaction. The flex sensors are used to detect finger movements (such as bending and relaxing), which correspond to in-game actions like controlling the accelerator and brake. The MEM sensor, integrated into the glove, detects hand tilt and enables users to steer a virtual vehicle left or right based on hand gestures. The smart glove acts as an intuitive input device, allowing users to play games by performing natural hand movements, providing a more immersive and interactive experience. The control system is connected to a PC, where the Arduino Leonardo interfaces with the computer to translate the user's hand gestures into corresponding in-game commands. This approach not only enhances the gaming experience but also demonstrates the potential of gesture control technology in human-computer interaction, offering a hands-free alternative to traditional controllers. Through this project, we explore the possibilities of combining sensor-based input with gaming, making the gaming experience more engaging and dynamic.  

The main objectives of the project are:  

1. Enable gesture-based game control using a smart glove.
2. Use flex sensors to detect finger movements for game actions.
3. Integrate a MEM sensor for hand tilt detection.
4. Interface with Arduino Leonardo to process gestures.
5. Enhance gaming experience with hands-free, natural control.

  This project provides us with the learning’s on the following aspects:  

1. Characteristics of Flex sensor.
2. Interfacing of Flex sensor with Microcontroller.
3. MEMS sensor working.

  The major building blocks of this project are:  

1. Power supply.
2. Arduino Leonardo.
3. Two Flex sensors.
4.   MEM sensor.
5. Glove.
6. PC.

    Software’s used:  

1. Express SCH for Circuit design.
2. Arduino IDE for compiling and dumping code into Microcontroller.

         

Block diagram:         video: