Results 101 to 110 of about 14,331,929 (193)

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

Vision-based manipulative gesture recognition in a human-robot interaction scenario [PDF]

, 2008
Li Z. Vision-based manipulative gesture recognition in a human-robot interaction scenario. Bielefeld (Germany): Bielefeld University; 2008.Nowadays, many people are expecting an age of personal robots just as what happened in the evolution of computers ...
Li, Zhe
core  

Sensor-Based Activity Recognition and Artificial Intelligence

This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024.

core   +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

A system of human vital signs monitoring and activity recognition based on body sensor network

, 2014
Purpose - The purpose of this paper is to develop a health monitoring system that can measure human vital signs and recognize human activity based on body sensor network (BSN).
Wang ZL(王哲龙), Zhao, Cong, Qiu, Sen
core  

A multimodal EMG-IMU dataset and multi-dataset benchmark for deep learning-based human activity recognition. [PDF]

Sci Rep
Farouk MK, El-Khatib MF, Awad MI, Atia MRA, Abdellatif A.   +4 more
europepmc   +1 more source

Siamese masked reconstruction with temporal rotation consistency for inertial-based human activity recognition. [PDF]

Sci Rep
Calatrava-Nicolás FM, Stoyanov T, Martinez Mozos O.   +2 more
europepmc   +1 more source

AWARE-Net: A Lightweight Joint Optimization Framework for Robust Sensor-Based Human Activity Recognition. [PDF]

Sensors (Basel)
He P, Wang Y, Ren P, Wang X, Xie L, Guo Y.   +5 more
europepmc   +1 more source