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Human Activity Recognition Using Convolutional Neural Networks
This research addresses human activity recognition (HAR) using a deep learning framework. Particularly convolutional neural networks (CNNs) to...
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Reliable positioning-based human activity recognition based on indoor RSSI changes
In this article, a human activity recognition system based on Wi-Fi signal strength variation (SSV) has been proposed. This strategy is built by...
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LightHARs: A Light Human Activity Recognition System
Human activity recognition (HAR) is the method to identify an activity of a human by rendering images, video, and sensor data collectively. While...
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Human Activity Recognition Using CTAL Model
In recent years, computer vision-related applications and research works are rapidly increasing daily. There are so many kinds of computer vision...
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A Study on Vision-Based Human Activity Recognition Approaches
The objective of human activity recognition (HAR) is to categorize actions from subject behavior and environmental factors. Systems for automatically...
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Location-Independent Human Activity Recognition Using WiFi Signal
The WiFi sensor constrains the Human activity recognition scheme to an immovable orientation when providing training samples, drastically reducing...
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A Novel Human Activity Recognition Model for Smartphone Authentication
The use of cell phones has dramatically expanded and developed into a daily habit in the current day. Additionally, consumers have started using a...
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Human Activity Recognition: Approaches, Datasets, Applications, and Challenges
Human Activity Recognition (HAR) has been such a demanding problem that needs to be solved. The main focus area of HAR is in healthcare, providing...
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Overview of Human Activity Recognition Using Sensor Data
Human activity recognition (HAR) is an essential research field that has been used in different applications including home and workplace automation,...
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Skeleton-Based Human Activity Recognition Using Bidirectional LSTM
Human activity recognition using 3D skeleton data has drawn the attention of research community. It is an interesting and well-sought-after computer...
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Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions
Human activity recognition is essential in many domains, including the medical and smart home sectors. Using deep learning, we conduct a...
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Computer Vision with Deep Learning for Human Activity Recognition: Features Representation
Deep learning (DL) using artificial neural networks has made remarkable progress, fueled by the utilization of powerful GPUs and the availability of...
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A Deep Learning Framework for Smartphone Based Human Activity Recognition
Human Activity Recognition (HAR) has earned a lot of importance in recent years due to its applications in various domains including smart...
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Towards Human Activity Recognition Enhanced Robot Assisted Surgery
Medical robotics have drawn increasing research interests in the past years. The potential of employing intelligence techniques is still not yet...
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Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line
Improving worker safety and productivity is of paramount importance in the manufacturing industry, driving the adoption of advanced sensing and...
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Multi-DGI: Multi-head Pooling Deep Graph Infomax for Human Activity Recognition
Human Activity Recognition (HAR) is a crucial research domain with substantial real-world implications. Despite the extensive application of machine...
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Wearable Sensors-Based Human Activity Recognition with Deep Convolutional Neural Network and Fuzzy Classification
The elderly and disabled often live without direct supervision and rely on remote monitoring for their care. However, current methods for information...
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Benchmarking of Semantic Segmentation Enabled Human Activity Recognition Methods
Human part segmentation is a sub-part of semantic segmentation where it demands accurate and efficient image segmentation mechanisms for assessing...
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Human Activity Recognition Using Supervised Machine Learning Classifiers
One of the machine learning algorithms’ most popular implementations nowadays is activity recognition. It is used, among other things, in biomedical...
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Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition
With the progressive development of ubiquitous computing, wearable human activity recognition is playing an increasingly important role in many...
