AIMC Topic: Human Activities

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HHI-AttentionNet: An Enhanced Human-Human Interaction Recognition Method Based on a Lightweight Deep Learning Model with Attention Network from CSI.

Sensors (Basel, Switzerland) Aug 12, 2022
Nowadays WiFi based human activity recognition (WiFi-HAR) has gained much attraction in an indoor environment due to its various benefits, including privacy and security, device free sensing, and cost-effectiveness. Recognition of human-human interac...
Human Activities Deep Learning Humans
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Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition.

Sensors (Basel, Switzerland) Aug 3, 2022
Human monitoring applications in indoor environments depend on accurate human identification and activity recognition (HIAR). Single modality sensor systems have shown to be accurate for HIAR, but there are some shortcomings to these systems, such as...
Humans Human Activities Neural Networks, Computer Software Forensic Anthropology Artificial Intelligence
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Explaining One-Dimensional Convolutional Models in Human Activity Recognition and Biometric Identification Tasks.

Sensors (Basel, Switzerland) Jul 28, 2022
Due to wearables' popularity, human activity recognition (HAR) plays a significant role in people's routines. Many deep learning (DL) approaches have studied HAR to classify human activities. Previous studies employ two HAR validation approaches: sub...
Human Activities Neural Networks, Computer Biometric Identification Databases, Factual Humans
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Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition.

Biosensors Jul 21, 2022
Many studies have explored divergent deep neural networks in human activity recognition (HAR) using a single accelerometer sensor. Multiple types of deep neural networks, such as convolutional neural networks (CNN), long short-term memory (LSTM), or ...
Humans Neural Networks, Computer Human Activities Walking Smartphone Heuristics
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Personalized Activity Recognition with Deep Triplet Embeddings.

Sensors (Basel, Switzerland) Jul 13, 2022
A significant challenge for a supervised learning approach to inertial human activity recognition is the heterogeneity of data generated by individual users, resulting in very poor performance for some subjects. We present an approach to personalized...
Humans Neural Networks, Computer Human Activities Algorithms
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Human Sports Action and Ideological and PoliticalEvaluation by Lightweight Deep Learning Model.

Computational intelligence and neuroscience Jul 9, 2022
The purpose is to automatically and quickly analyze whether the rope skipping actions conform to the standards and give correct guidance and training plans. Firstly, aiming at the problem of motion analysis, a deep learning (DL) framework is proposed...
Deep Learning Human Activities Motion Neural Networks, Computer Humans Algorithms
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Human Behavior Recognition in Outdoor Sports Based on the Local Error Model and Convolutional Neural Network.

Computational intelligence and neuroscience Jun 28, 2022
With the rapid development of the Internet, various electronic products based on computer vision play an increasingly important role in people's daily lives. As one of the important topics of computer vision, human action recognition has become the m...
Neural Networks, Computer Algorithms Humans Sports Motion Human Activities
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Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition.

Sensors (Basel, Switzerland) Jun 23, 2022
The training of Human Activity Recognition (HAR) models requires a substantial amount of labeled data. Unfortunately, despite being trained on enormous datasets, most current models have poor performance rates when evaluated against anonymous data fr...
Supervised Machine Learning Humans Human Activities
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Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring.

Biosensors Jun 7, 2022
Biomedical images contain a huge number of sensor measurements that can provide disease characteristics. Computer-assisted analysis of such parameters aids in the early detection of disease, and as a result aids medical professionals in quickly selec...
Human Activities Smartphone Neural Networks, Computer Humans Deep Learning Aged
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Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.

IEEE journal of translational engineering in health and medicine May 25, 2022
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in inte...
Wearable Electronic Devices Neural Networks, Computer Human Activities Attention Algorithms Humans
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