Results 71 to 80 of about 14,331,929 (193)
Skeleton-based human action and gesture recognition for human-robot collaboration [PDF]
, 2022 openThe continuous development of robotic and sensing technologies has led in recent years to an increased interest in human-robot collaborative systems, in which humans and robots perform tasks in shared spaces and interact with close and direct ...
LAZZARETTO, MARGHERITA
core
Human activity recognition based on accelerometer and gyroscope sensors
, 2017 Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve many real-life, human-centric problems such as eldercare and healthcare. HAR aims to recognize common human activities in real life settings.
Mishkhal, Israa Adnan
core
Bilinear programming for human activity recognition with unknown MRF graphs [PDF]
, 2013 Markov Random Fields (MRFs) have been successfully applied to human activity modelling, largely due to their ability to model complex dependencies and deal with local uncertainty.
Qinfeng Shi +7 more
core +1 more source
Plan, activity, and intent recognition : theory and pratice /
, 2014 Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language ...
Sukthankar, Gita.
core
Capture-24: Activity tracker dataset for human activity recognition
, 2021 This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 participants in 2014-2016 around the Oxfordshire area. Participants were asked to wear the device in daily living for a period of roughly 24 hours, amounting ...
Chan Chang, Shing +12 more
core +1 more source
4D radar simulator for human activity recognition
IET Radar, Sonar & NavigationMillimetre‐wave radar has been widely used in health monitoring and human activity recognition owing to its improved range resolution and operation in a variety of environmental conditions.
Junyu Zhou, Julien Le Kernec
doaj +1 more source
Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition
Applied Sciences, 2020 Human activity recognition has become essential to a wide range of applications, such as smart home monitoring, health-care, surveillance. However, it is challenging to deliver a sufficiently robust human activity recognition system from raw sensor data ...
Rebeen Ali Hamad +3 more
doaj +1 more source
Human activity recognition based on triaxial accelerometer
, 2012 Activity recognition has become one of the most popular research topics. In this paper, efforts on activity recognition based on the WIMU (Wireless Inertial Measurement Unit) sensors are reported. We use triaxial accelerometer to capture the acceleration
Zhu SJ(朱思俊) +3 more
core
Human Activity Recognition using Smartphone
CoRR, 2014 Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. The system uses a 3-dimentional smartphone accelerometer as the only sensor to collect time series signals, from which 31 features are generated in both time and frequency ...
Amin Rasekh, Chien-An Chen, Yan Lu
openaire +2 more sources
Recognition of Real-Time Video Activities Using Stacked Bi-GRU with Fusion-based Deep Architecture [PDF]
Journal of Universal Computer ScienceRecognizing and understanding human activities in real-time videos is a challenging task due to the complex nature of video data and the need for efficient and accurate analysis.
Ujwala Thakur +2 more
doaj +3 more sources