Explainable deep convolutional neural networks for insect pest recognition

S Coulibaly, B Kamsu-Foguem, D Kamissoko… - Journal of Cleaner …, 2022 - Elsevier
Fungal infestation of crops is critical to food security as it affects yield and quality of
production. Indeed, one element responsible for this situation is insect pests. Early detection …

Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications

KR Pyun, K Kwon, MJ Yoo, KK Kim… - National science …, 2024 - academic.oup.com
Soft electromechanical sensors have led to a new paradigm of electronic devices for novel
motion-based wearable applications in our daily lives. However, the vast amount of random …

Adversarial unsupervised domain adaptation for hand gesture recognition using thermal images

A Dayal, M Aishwarya, S Abhilash… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Hand gesture recognition has a wide range of applications, including in the automotive and
industrial sectors, health assistive systems, authentication, and so on. Thermal images are …

Thermal image-based hand gesture recognition for worker-robot collaboration in the construction industry: A feasible study

H Wu, H Li, HL Chi, Z Peng, S Chang, Y Wu - Advanced Engineering …, 2023 - Elsevier
Worker-robot collaboration (WRC) is a promising solution for complex construction tasks,
which can integrate the robots' advantages in strength and accuracy with human ability in …

A review of embedded machine learning based on hardware, application, and sensing scheme

A Biglari, W Tang - Sensors, 2023 - mdpi.com
Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …

Sign and human action detection using deep learning

S Dhulipala, FF Adedoyin, A Bruno - Journal of Imaging, 2022 - mdpi.com
Human beings usually rely on communication to express their feeling and ideas and to solve
disputes among themselves. A major component required for effective communication is …

Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results

G Tang, T Wu, C Li - Sensors, 2023 - mdpi.com
As a convenient and natural way of human-computer interaction, gesture recognition
technology has broad research and application prospects in many fields, such as intelligent …

Ensemble of heterogeneous base classifiers for human gait recognition

M Derlatka, M Borowska - Sensors, 2023 - mdpi.com
Human gait recognition is one of the most interesting issues within the subject of behavioral
biometrics. The most significant problems connected with the practical application of …

Computer‐Vision Based Gesture‐Metasurface Interaction System for Beam Manipulation and Wireless Communication

YT Chen, HL Wang, S Sun, ZW Cheng… - Advanced …, 2024 - Wiley Online Library
Hand gesture plays an important role in many circumstances, which is one of the most
common interactive methods in daily life, especially for disabled people. Human–machine …

Lightweight convolutional neural network architecture implementation using TensorFlow lite

J Pandey, AR Asati - International Journal of Information Technology, 2023 - Springer
Recently, with the increase in the precision of convolutional neural networks (CNN) on a
wide variety of classification and recognition tasks, the demand for their deployment has …