Results 91 to 100 of about 14,331,929 (193)

Where to Focus on for Human Action Recognition? [PDF]

, 2019
International audienceIn this paper, we present a new attention model for the recognition of human action from RGB-D videos. We propose an attention mechanism based on 3D articulated pose.
Chaudhary, Arpit, Das, Srijan, Bremond, Francois, Arpit Chaudhary, Monique Thonnat, Thonnat, Monique, Srijan Das, Francois Bremond   +7 more
core   +1 more source

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

Bayesian Recognition of Motion Related Activities with Inertial Sensors [PDF]

, 2010
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit (IMU) worn on the belt.
Maria Josefa Vera Nadales, Frank, Korbinian, Patrick Robertson, Robertson, Patrick, Tom Pfeifer, Vera Nadales, María Josefa, Pfeifer, Tom, Korbinian Frank   +7 more
core   +1 more source

Distance-based wrapper model for human activity recognition

IJAIN (International Journal of Advances in Intelligent Informatics)
In this paper, we developed an effective wrapper-based model to optimize the recognition of physical human daily life activities recorded by smartphone built-in sensors.
Rana Alauldeen Abdalrahman, Laith AL-Frady, Ruaa Ali Khamees   +2 more
doaj   +1 more source

ShoeTect2.0: Real-Time Activity Recognition Using MobileNet CNN with Multisensory Smart Footwear

260268In this paper, we introduce a proof-of-concept multi-sensory footwear prototype with artificial intelligence to facilitate human activity recognition.
Matthies, Denys, Gabrecht, Marco Torge, Yang, Tengyunhao, Schlonsak, Ruben   +3 more
core   +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

Real-time human activity recognition based on radar

, 2019
Most smart systems such as smart home and smart health respond to human's locations and activities. However, traditional solutions either require wearable sensors or lead to leaking privacy.
Guo, Hanqing
core  

Communicating Recognition & Rewards experiences: Tips and tricks

These guidelines support communications and marketing employees in the preparation and execution stages of creating a story about someone’s experiences with Recognition & Rewards (R&R) principles and themes.
Recognition & Rewards
core   +2 more sources

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