Abstract: Visual limitations in visually impaired individuals pose challenges in understanding facial expressions that are important in social interactions. This research develops a CNN-based face ...
Abstract: Audio feature selection and neural network architecture play crucial roles in speech recognition performance. This paper presents a comparative analysis of Artificial Neural Networks (ANNs) ...
--output Output path (default: input name + extension) --format jpg or png (default: jpg) --width Output width (default: 1920) --height Output height (default: 1080 ...
Abstract: This paper presents a lightweight three-dimensional convolutional neural network (3D-CNN) for human activity recognition (HAR) using event-based vision data ...
Abstract: Human activity recognition (HAR) using millimeter-wave (mmWave) radar has gained attention as a contactless and privacy-preserving sensing method that remains effective under low lighting ...
Abstract: Emotion recognition from voice data has evolved from a niche field into an important thing in human-computer interaction. It aims to facilitate more natural interactions with machines ...
The open-source community is celebrating a well-deserved recognition. Greg Kroah-Hartman, one of the most influential figures in the Linux ecosystem, has been awarded the European Open Source Award, ...
Abstract: With the rapid development of wearable health monitoring technology, the integration of simultaneous multimodal physiological signal monitoring and voice interaction has emerged as a ...
This repository contains the complete RTL design and verification environment for a fully hardware-based Convolutional Neural Network (CNN) accelerator. The system is designed from scratch in Verilog ...
Abstract: The characteristics of spatial electric field distortion are a key basis for detecting the zero-value insulator. In this paper, aiming at the operating states of 110kV insulator string under ...
An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...
Abstract: Fine-grained scene recognition has significant application value in fields such as intelligent transportation, navigation and positioning, smart home, human-computer interaction, safety ...
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