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The main goal of this thesis is to automatically capture visual and audio information from videos by using deep learning algorithms and keeping efficiency ...
The main goal of this thesis is to automatically capture visual and audio information from videos by using deep learning algorithms and keeping efficiency as a ...
In this paper, a novel framework for HAR using ML based on sensor-fusion is proposed. Moreover, a feature selection approach to select useful features based on ...
Mar 4, 2020 · In this paper, we investigate challenges of real-time human activity recognition and present an effective framework based on a waveform pattern matching ...
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Apr 23, 2024 · We develop an efficient human activity recognition in-memory computing architecture for healthcare monitoring.
This paper introduces a method called Knowledge Distillation for Human Activity Recognition (KD-HAR) for compressing deep neural networks in the context of ...
A tool to keep an observation even without human intervention. This project focuses on building a Human Activity Recognition System where data is collected, ...
Jul 12, 2023 · We propose an efficient neural architecture search method based on a latency lookup table. Our proposed method efficiently performs the network search process.
In this study, we explore Human Activity Recognition (HAR), a task that aims to predict individuals' daily activities utilizing time series data obtained from ...
Nov 13, 2023 · We propose a 2D CNN-based human action recognition method to reduce the computation load. The proposed method achieves competitive performance ...