Empowering Communication: Emergency Hand Recognition for the Differently Abled
Lavanya Rao U B, Rekha P, Manjunath G. Asuti, Sumit Kumar, Mehak Nadaf, Shashank K Bedre · 2025
The advancement of technology has significantly influenced the lives of differently-abled individuals, particularly in enhancing their communication and interaction capabilities. This article presents an innovative emergency hand recognition system designed to improve interaction and communication for individuals with disabilities. Utilizing advanced computer vision and machine learning techniques, the system identifies predefined hand gestures, facilitating quick and accurate emergency communication for those with speech or hearing impairments. By providing a dependable way for users to express urgent needs, this solution seeks to enhance the safety and independence of specially-abled individuals. The implementation of this technology not only empowers users in critical situations but also promotes greater inclusion in society, allowing for more effective interactions with caregivers and emergency responders. Thus, this work aims to bridge communication gaps and foster a more accessible environment for all.