Results 61 to 70 of about 670,504 (156)

Human activity recognition method based on molecular attributes

International Journal of Distributed Sensor Networks, 2019
Acceleration sensor is extensively used in the field of human activity recognition, since it provides better recognition rate of human activity. Based on the principle of molecular attribute, a simple and adaptive activity recognition method is proposed ...
Hengnian Qi, Kai Fang, Xiaoping Wu, Lili Xu, Qing Lang   +4 more
doaj   +1 more source

TransTM: A device-free method based on time-streaming multiscale transformer for human activity recognition

Defence Technology
RFID-based human activity recognition (HAR) attracts attention due to its convenience, non-invasiveness, and privacy protection. Existing RFID-based HAR methods use modeling, CNN, or LSTM to extract features effectively. Still, they have shortcomings: 1)
Yi Liu, Weiqing Huang, Shang Jiang, Bobai Zhao, Shuai Wang, Siye Wang, Yanfang Zhang   +6 more
doaj   +1 more source

Inertial Sensor-Based Recognition of Field Hockey Activities Using a Hybrid Feature Selection Framework

Sensors
Accurate recognition of complex human activities from wearable sensors plays a critical role in sports analytics and human performance monitoring. However, the high dimensionality and redundancy of raw inertial data can hinder model performance and ...
Norazman Shahar, Muhammad Amir As’ari, Mohamad Hazwan Mohd Ghazali, Nasharuddin Zainal, Mohd Asyraf Zulkifley, Ahmad Asrul Ibrahim, Zaid Omar, Mohd Sabirin Rahmat, Kok Beng Gan, Asraf Mohamed Moubark   +9 more
doaj   +1 more source

Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework

Journal of Electrical and Computer Engineering, 2015
Human activity recognition via triaxial accelerometers can provide valuable information for evaluating functional abilities. In this paper, we present an accelerometer sensor-based approach for human activity recognition.
Yuhuang Zheng
doaj   +1 more source

BodyFlow: An Open-Source Library for Multimodal Human Activity Recognition

Sensors
Human activity recognition is a critical task for various applications across healthcare, sports, security, gaming, and other fields. This paper presents BodyFlow, a comprehensive library that seamlessly integrates human pose estimation and multiple ...
Rafael del-Hoyo-Alonso, Ana Caren Hernández-Ruiz, Carlos Marañes-Nueno, Irene López-Bosque, Rocío Aznar-Gimeno, Pilar Salvo-Ibañez, Pablo Pérez-Lázaro, David Abadía-Gallego, María de la Vega Rodrigálvarez-Chamarro   +8 more
doaj   +1 more source

A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds

Leida xuebao
Low-frequency Ultra-WideBand (UWB) radar offers significant advantages in the field of human activity recognition owing to its excellent penetration and resolution.
Yongkun SONG, Tianxing YAN, Ke ZHANG, Xian LIU, Yongpeng DAI, Tian JIN   +5 more
doaj   +1 more source

Reasoning-Enhanced Few-Shot Human Activity Recognition via Visual Reinforcement Learning

IEEE Access
Most existing human activity recognition (HAR) models rely on large-scale labeled datasets for training, which makes it difficult for HAR models to recognize activity classes unseen during training when only a few samples are available.
Wenqi Zheng, Yutaka Arakawa
doaj   +1 more source

Efficient Human Activity Recognition Using Machine Learning and Wearable Sensor Data

Applied Sciences
With the rapid advancement of global development, there is an increasing demand for health monitoring technologies. Human activity recognition and monitoring systems offer a powerful means of identifying daily movement patterns, which helps in ...
Ziwei Zhong, Bin Liu
doaj   +1 more source

Deep learning for stress oriented human activity recognition. [PDF]

Front Digit Health
Hamza M, Uddin N, Anjum G, Anas M, Gabol U, Saddaf Khan N.   +5 more
europepmc   +1 more source

Human Activity Recognition Dataset for Pedestrians with Mobility Disabilities. [PDF]

Sci Data
Woo Y, Hwang S, Oh S, Kang M, Lee S, Kim J, Cha J, Kim KK.   +7 more
europepmc   +1 more source