Results 51 to 60 of about 2,923,075 (185)

Badminton Activity Recognition Using Accelerometer Data

Sensors, 2020
A thorough analysis of sports is becoming increasingly important during the training process of badminton players at both the recreational and professional level.
Tim Steels, Ben Van Herbruggen, Jaron Fontaine, Toon De Pessemier, David Plets, Eli De Poorter   +5 more
doaj   +1 more source

Analysis and Recognition of Human Gait Activity Based on Multimodal Sensors

Mathematics, 2023
Remote health monitoring plays a significant role in research areas related to medicine, neurology, rehabilitation, and robotic systems. These applications include Human Activity Recognition (HAR) using wearable sensors, signal processing, mathematical ...
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Dominguez   +2 more
doaj   +1 more source

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

, 2019
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Duan, Ling-Yu, Kot, Alex C., Liu, Jun, Perez, Mauricio, Shahroudy, Amir, Wang, Gang   +5 more
core   +1 more source

Personalization in Human Activity Recognition

CoRR, 2020
2 ...
Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano   +3 more
openaire   +3 more sources

Cost-Effective Multitask Active Learning in Wearable Sensor Systems

Sensors
Multitask learning models provide benefits by reducing model complexity and improving accuracy by concurrently learning multiple tasks with shared representations.
Asiful Arefeen, Hassan Ghasemzadeh
doaj   +1 more source

Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor

Sensors, 2020
In this paper we propose a way of using depth maps transformed into 3D point clouds to classify human activities. The activities are described as time sequences of feature vectors based on the Viewpoint Feature Histogram descriptor (VFH) computed using ...
Kamil Sidor, Marian Wysocki
doaj   +1 more source

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition

Sensors, 2023
Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diversity
Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, Seyed Iman Mirzadeh, Hassan Ghasemzadeh   +4 more
doaj   +1 more source

Stratified Transfer Learning for Cross-domain Activity Recognition

, 2017
In activity recognition, it is often expensive and time-consuming to acquire sufficient activity labels. To solve this problem, transfer learning leverages the labeled samples from the source domain to annotate the target domain which has few or none ...
Chen, Yiqiang, Hu, Lisha, Peng, Xiaohui, Wang, Jindong, Yu, Philip S.   +4 more
core   +1 more source

A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications

IEEE Access
Integrated sensing and communications (ISAC) technology is being developed in wireless communications systems in the sixth generation (6G). ISAC has the advantages of lower cost, better spectral efficiency, and better energy efficiency than systems that ...
Mikael Ade Krisna Respati, Byung Moo Lee
doaj   +1 more source

Human Posture Estimation: A Systematic Review on Force-Based Methods—Analyzing the Differences in Required Expertise and Result Benefits for Their Utilization

Sensors, 2023
Force-based human posture estimation (FPE) provides a valuable alternative when camera-based human motion capturing is impractical. It offers new opportunities for sensor integration in smart products for patient monitoring, ergonomic optimization and ...
Sebastian Helmstetter, Sven Matthiesen
doaj   +1 more source