Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware.

ABSTRACT: Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for numerous real-world activities. Recent deep learning approaches have reached outstanding accuracies in such tasks, but their implementation on conventional embedded solutions is still very computationally and energy expensive. Tactile sensing in robotic applications is a representative example where real-time processing and energy efficiency are required. Following a brain-inspired computing approach, we propose a new benchmark for spatio-temporal tactile pattern recognition at the edge through Braille letter reading. We recorded a new Braille letters dataset based on the capacitive tactile sensors of the iCub robot's fingertip. We then investigated the importance of spatial and temporal informa

SUBMITTER: Muller-Cleve SF 

PROVIDER: S-EPMC9695069 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature