Abstract:
The vision of the "Smart Voice Recognition and Obstacle Avoidance Wheelchair" project will
be empowering physically challenged persons with more mobility and independence through
its integration with state-of-the-art technologies. This wheelchair system shall integrate voice
recognition-based user commands with obstacle detection, hence becoming very intuitive and
an efficient mode of transportation. At the very core of the system lies a robust voice
recognition module that recognizes and executes predefined voice commands by the user. The
response on the interface of voice control is responsive and accurate enough to ensure reliable
operation even in noisy environments.
The wheelchair's basic features, such as moving forward, backward, turning, and stopping, are
all voice commanded and hence controlled by the user. These wheelchairs have implanted
sensor networks, which include ultrasonic, infrared, and LIDAR sensors, possibly sweeping
continuously an environment for obstacles and computing in real-time paths safe from
collision. This information obtained from these sensors is then processed through the onboard
microcontroller, dynamically adjusting the path and speed of the wheelchair for silky-smooth
navigation. All these technologies are integrated to a central control unit, which synchronizes
the voice commands and sensor data. Advanced algorithms for path planning and decision
making at this unit ensure a seamless user experience.
Also inbuilt in the system is a fail-safe mechanism wherein the wheelchair stops automatically
in case of malfunction or failure of obstacle detection to avoid accidents. The scope of the
project is by no means only about practical issues arising in the life of a person with reduced
mobility; it is an area that has huge potential for combinations between voice recognition and
sensor technologies within assistive devices. This smart wheelchair enables state-of-the-art
technology for users, hence increasing their autonomy, safety, and quality of life by opening
the pathway to future developments of assistive mobility solutions
