[Research on Barrier-free Home Environment System Based on Speech Recognition]

Area of Science:

• Assistive Technology
• Human-Computer Interaction
• Embedded Systems

Background:

• Increasing prevalence of physical disabilities and an aging population necessitate improved quality of life solutions.
• Existing home environments often lack adequate accessibility features for individuals with severe disabilities.
• The need for independent control over home electrical devices is critical for enhancing user autonomy.

Purpose of the Study:

• To develop a voice-controlled accessible home environment system for patients with severe disabilities.
• To enable seamless control of various home electrical devices using voice commands.
• To improve the overall quality of life for users with physical limitations.

Main Methods:

• Integration of a central control platform, speech recognition module, and terminal operation module.
• Utilized speech recognition, wireless information transmission, and embedded mobile computing technologies.
• Interconnected home electrical devices (lamps, locks, alarms, TV) via a wireless network node.

Main Results:

• The developed control system successfully integrated multiple home electrical devices.
• Experimental results demonstrated a speech recognition success rate exceeding 84% within a home environment.
• The system provides a viable solution for voice-based control of household appliances.

Conclusions:

• The voice-controlled accessible home environment system effectively enhances independence for individuals with severe disabilities.
• The system's high speech recognition rate confirms its practical applicability in real-world home settings.
• This technology represents a significant advancement in creating more inclusive and supportive living spaces.