Enabling American Sign Language Communication Under Low Data Rates
Panneer Selvam Santhalingam, Swann Thantsin, Ahmad Kamari, Parth Pathak, Kenneth DeHaan

TL;DR
VC4ASL is a novel system that enables American Sign Language communication over audio channels in low-bandwidth video conferencing by encoding pose information and employing error correction, improving accessibility in degraded network conditions.
Contribution
This work introduces VC4ASL, a system that transmits pose-based ASL over audio channels, with novel error correction exploiting human pose structure, without requiring platform modifications.
Findings
Effective ASL communication over audio in low-bandwidth scenarios
Successful integration with existing video conferencing platforms
User studies confirm improved comprehension among ASL users
Abstract
In recent years, video conferencing applications have become increasingly prevalent, relying heavily on high-speed internet connectivity. When such connectivity is lacking, users often default to audio-only communication, a mode that significantly disadvantages American Sign Language (ASL) users, whose communication relies on hand gestures, body movement, and facial expressions. In this work, we introduce VC4ASL, a system designed to enable ASL communication over the audio channel of existing video conferencing applications, even in the absence of reliable video. VC4ASL integrates seamlessly with current platforms without requiring any modifications. Our approach establishes a communication channel through audio by encoding and transmitting human pose information, which is then rendered to reconstruct signed content. We propose novel receive-side error detection and correction…
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