Results 11 to 20 of about 14,968,121 (261)
Acoustic- and Radio-Frequency-Based Human Activity Recognition
In this work, a hybrid radio frequency (RF)- and acoustic-based activity recognition system was developed to demonstrate the advantage of combining two non-invasive sensors in Human Activity Recognition (HAR) systems and smart assisted living.
Masoud Mohtadifar +2 more
doaj +1 more source
Human Gait Activity Recognition Machine Learning Methods
Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One of the most attractive applications includes monitoring of gait disorder patients, tracking their disease progression and the ...
Jan Slemenšek +6 more
doaj +1 more source
Human Activity Recognition with Meta-learning and Attention [PDF]
With the in-depth research of deep learning technology,its application and development in the field of behavior recognition have been greatly promoted.Current research on behavior recognition based on deep learning usually requires a large training data ...
WANG Jiahao, ZHONG Xin, LI Wenxiong, ZHAO Dexin
doaj +1 more source
LSTM-CNN Architecture for Human Activity Recognition
In the past years, traditional pattern recognition methods have made great progress. However, these methods rely heavily on manual feature extraction, which may hinder the generalization model performance.
Kun Xia, Jianguang Huang, Hanyu Wang
doaj +1 more source
Two-Stage Human Activity Recognition Using 2D-ConvNet.
There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector.
Kamal Kant Verma +3 more
doaj +1 more source
Human Activity Recognition With Commercial WiFi Signals
The next generation of mobile communication aims to extend the capabilities of traditional communication by reshaping the environment with wireless signals.
Chen Tian +6 more
doaj +1 more source
RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA
The paper considers the problem solution of classifying the type of physical activity of a person according to visual data. The authors propose using of deep neural networks to determine the type of activity.
Anna V. Pyataeva +3 more
doaj +1 more source
KCAR : a knowledge-driven approach for concurrent activity recognition [PDF]
Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing.
Ye, Juan +4 more
core +1 more source
Human physical activity recognition system [PDF]
Human activity recognition (HAR) is a technique that somehow senses the human activities, analyzes the relevant information, and identifies the corresponding behaviors mode.
Zhao, Di, Tang, Yi
core +1 more source
CBARS: cluster based classification for activity recognition systems [PDF]
Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat +11 more
core +1 more source

