Results 91 to 100 of about 28,372 (157)

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

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

On the Neuronal Activity in the Human Brain During Visual Recognition, Imagery and Binocular Rivalry [PDF]

, 2002
How does the neuronal activity in our brains give rise to our perceptions? We recorded the electrophysiological activity of over one thousand individual neurons in the human brain during object recognition, binocular rivalry, visual imagery and sleep ...
Kreiman, Gabriel Alejandro
core   +1 more source

Human Activity Recognition via Attention-Augmented TCN-BiGRU Fusion

Sensors
With the widespread application of wearable sensors in health monitoring and human–computer interaction, deep learning-based human activity recognition (HAR) research faces challenges such as the effective extraction of multi-scale temporal features and ...
Ji-Long He, Jian-Hong Wang, Chih-Min Lo, Zhaodi Jiang   +3 more
doaj   +1 more source

Bayesian Recognition of Motion Related Activities with Inertial Sensors

, 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

Descriptive temporal template features for visual motion recognition

, 2009
Copyright © 2009 Elsevier B.V. All rights reserved.In this paper, a human action recognition system is proposed. The system is based on new, descriptive ‘temporal template’ features in order to achieve high-speed recognition in real-time, embedded ...
Meng, H, Pears, N
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

Automated Annotation of Sensor data for Activity Recognition using Deep Learning

, 2017
Within this work-in-progress, we aim to automate the annotation of Sensor data for generating training data for Activity Recognition (AR) of multiple persons. Usually, the activities are executed and recorded from test persons under the supervision of an
Ringsleben, Frederic, Haenselmann, Thomas, Yadav, Bharat, Benndorf, Maik   +3 more
core   +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