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LSC50: Colombian Sign Language Video and Inertial Measurement dataset.

Andrés Felipe Flórez-Sierra¹, Brayan David Solórzano², Fredy Segura-Quijano¹

¹Department of Electrical and Electronics Engineering, Universidad de los Andes, Bogotá, Colombia.

Scientific Data

|December 18, 2024

Summary

This summary is machine-generated.

This study introduces a new dataset of Colombian Sign Language (LSC) recordings to support technology development. This resource aims to improve social inclusion for the deaf community by bridging communication gaps.

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Area of Science:

Linguistics
Computer Science
Human-Computer Interaction

Background:

Over 500,000 people in Colombia experience disabling hearing loss, representing 1% of the population.
A scarcity of 400 professional Colombian Sign Language (LSC) interpreters exacerbates communication barriers.
The deaf community in Colombia faces significant challenges in social inclusion and equity due to limited LSC resources.

Purpose of the Study:

To present a novel, multimodal dataset of Colombian Sign Language (LSC) recordings.
To facilitate the development of technologies for social inclusion and equity for the deaf community.
To address the critical need for advanced LSC understanding and communication tools.

Main Methods:

Collected multimodal recordings of native and non-native LSC signers.
Captured video data and data from inertial measurement units.
Processed recordings to include detected body landmarks and inverse kinematics of the upper body (arm and wrist movements).

Main Results:

The dataset comprises comprehensive LSC lexicon recordings with synchronized video and motion data.
Includes detailed kinematic information such as flexion, extension, and rotation of arms and wrists.
Represents the first dataset of its kind for Colombian Sign Language.

Conclusions:

This dataset is a foundational resource for advancing LSC research and technology.
It is crucial for developing tools to reduce communication barriers for the deaf community in Colombia.
The data will enable better understanding and processing of LSC, promoting greater equity.