Pablo Augusto Negri1, Ajay Vasudevan2Teresa Serrano-Gotarredona2 and Bernabé Linares-Barranco2

1. Instituto de Ciencias de la Computación, Universidad de Buenos Aires, ARGENTINA.

2. Instituto de Microelectrónica de Sevilla, IMSE-CNM (CSIC & Univ. of Sevilla), Sevilla, SPAIN.


We present a dataset of sign language (SL) of gestures peformed by different people representing animals recorded with a DVS sensor:


The SL-ANIMALS-DVS database consists of DVS recordings of humans performing sign language gestures of various animals as a continuous spike flow at very low latency. This is especially suited for sign language gestures which are usually made at very high speeds. The dataset has about 1100 samples of 58 subjects performing 19 sign language gestures in isolation at different scenarios, providing a challenging evaluation platform for this emerging technology.

When using the dataset please cite: 

A. Vasudevan, P. Negri, B. Linares-Barranco and T. Serrano-Gotarredona,  "Introduction and Analysis of an Event-Based Sign Language Dataset," in 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (FG), Buenos Aires, undefined, AR, 2020 pp. 441-448. doi: 10.1109/FG47880.2020.00069


The recordings have been obtained using the sensitive DVS developed in IMSE

T. Serrano-Gotarredona and B. Linares-Barranco, "A 128x128 1.5% Contrast Sensitivity 0.9% FPN 3us Latency 4mW Asynchronous Frame-Free Dynamic Vision Sensor Using Transimpedance Amplifiers," IEEE J. Solid-State Circuits, vol.48, No. 3, pp. 827-838, March 2013.


Recorded files can be displayed with jAER (available from: MatlabTM scripts are provided to transfer files from/to jAER format to matlab.

This database can be downloaded free of charge, provided it is used for non-commercial purposes and the original source is credited in publications and reports.

To download it go to