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[HTML][HTML] Hand gesture recognition based on computer vision: a review of techniques
Hand gestures are a form of nonverbal communication that can be used in several fields
such as communication between deaf-mute people, robot control, human–computer …
such as communication between deaf-mute people, robot control, human–computer …
Hyperspectral classification based on spectral–spatial convolutional neural networks
Hyperspectral image classification is an important task in remote sensing image analysis.
Traditional machine learning techniques are difficult to deal with hyperspectral images …
Traditional machine learning techniques are difficult to deal with hyperspectral images …
Obstructive sleep apnea detection using ecg-sensor with convolutional neural networks
In recent years, AI (Artificial Intelligence) has achieved great development in modern society.
More and more modern technologies are applied in surveillance and monitoring. Healthcare …
More and more modern technologies are applied in surveillance and monitoring. Healthcare …
Hercules: Reproducing crashes in real-world application binaries
Binary analysis is a well-investigated area in software engineering and security. Given real-
world program binaries, generating test inputs which cause the binaries to crash is crucial …
world program binaries, generating test inputs which cause the binaries to crash is crucial …
Big data driven outlier detection for soybean straw near infrared spectroscopy
In near infrared spectroscopy (NIRS) analysis, the prediction ability of the model is seriously
affected by outliers that may be the result of errors related to the spectral measurements, the …
affected by outliers that may be the result of errors related to the spectral measurements, the …
Environment parameters control based on wireless sensor network in livestock buildings
Y Zhang, Q Chen, G Liu, W Shen… - International Journal of …, 2016 - journals.sagepub.com
The products quality and welfare of animals are closely related to the environment
parameters in livestock buildings. A monitoring and control method of environment …
parameters in livestock buildings. A monitoring and control method of environment …
Method for enhanced gesture recognition under low light conditions based on wearable mechanoluminescence sensors
J Cui, B Ren, Y Guo, S Yang, J Han, J Li, Y Cao - Measurement, 2025 - Elsevier
Gestures, as one of the key modes of human–computer interaction, are currently identified
and processed mainly through two methods: machine vision imaging and wearable …
and processed mainly through two methods: machine vision imaging and wearable …
Hand gesture recognition for user interaction in augmented reality (ar) experience
Augmented Reality (AR) has gained a lot of attraction in the recent past. Arguably, the most
important tool that can make AR a household gadget is its interaction with the user. This may …
important tool that can make AR a household gadget is its interaction with the user. This may …
Robust human pose estimation from distorted wide-angle images through iterative search of transformation parameters
Tracking human motion from video sequences is a well-known video surveillance technique,
and many commercially available motion capture devices can now recognize human poses …
and many commercially available motion capture devices can now recognize human poses …
Assessment of UAV operator workload in a reconfigurable multi-touch ground control station environment
Multi-touch computer inputs allow users to interact with a virtual environment through the
use of gesture commands on a monitor instead of a mouse and keyboard. This style of input …
use of gesture commands on a monitor instead of a mouse and keyboard. This style of input …