AIMC Topic: Human Activities

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Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Jul 19, 2023
The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses diverse domains (e.g., users, devices, or datasets), rendering it an ideal testbed fo...
Machine Learning Awareness Accelerometry Human Activities Humans Neural Networks, Computer
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Human Activity Prediction Based on Forecasted IMU Activity Signals by Sequence-to-Sequence Deep Neural Networks.

Sensors (Basel, Switzerland) Jul 18, 2023
Human Activity Recognition (HAR) has gained significant attention due to its broad range of applications, such as healthcare, industrial work safety, activity assistance, and driver monitoring. Most prior HAR systems are based on recorded sensor data...
Exercise Accidental Falls Humans Neural Networks, Computer Human Activities
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Human activity recognition in an end-of-life consumer electronics disassembly task.

Applied ergonomics Jul 17, 2023
The production of electronic waste, also known as e-waste, has risen with the growing reliance on electronic products. To reduce negative environmental impact and achieve sustainable industrial processes, recovering and reusing products is crucial. A...
Motion Human Activities Humans Algorithms Robotics Electronics
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Video-Based Human Activity Recognition Using Deep Learning Approaches.

Sensors (Basel, Switzerland) Jul 13, 2023
Due to its capacity to gather vast, high-level data about human activity from wearable or stationary sensors, human activity recognition substantially impacts people's day-to-day lives. Multiple people and things may be seen acting in the video, disp...
Neural Networks, Computer Deep Learning Humans Motion Supervised Machine Learning Human Activities
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Identification and Classification of Human Body Exercises on Smart Textile Bands by Combining Decision Tree and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jul 7, 2023
In recent years, human activity recognition (HAR) has gained significant interest from researchers in the sports and fitness industries. In this study, the authors have proposed a cascaded method including two classifying stages to classify fitness e...
Humans Neural Networks, Computer Human Body Human Activities Exercise Decision Trees
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A Light-Weight Artificial Neural Network for Recognition of Activities of Daily Living.

Sensors (Basel, Switzerland) Jun 24, 2023
Human activity recognition (HAR) is essential for the development of robots to assist humans in daily activities. HAR is required to be accurate, fast and suitable for low-cost wearable devices to ensure portable and safe assistance. Current computat...
Activities of Daily Living Human Activities Algorithms Walking Humans Neural Networks, Computer
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Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination.

Sensors (Basel, Switzerland) Jun 19, 2023
Human activity recognition (HAR) performs a vital function in various fields, including healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor data (i.e., accelerometer, gyroscope) by adapting various machine lear...
Human Activities Deep Learning Machine Learning Humans Aged Neural Networks, Computer Signal Processing, Computer-Assisted
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Towards Recognition of Human Actions in Collaborative Tasks with Robots: Extending Action Recognition with Tool Recognition Methods.

Sensors (Basel, Switzerland) Jun 19, 2023
This paper presents a novel method for online tool recognition in manual assembly processes. The goal was to develop and implement a method that can be integrated with existing Human Action Recognition (HAR) methods in collaborative tasks. We examine...
Visual Perception Humans Robotics Human Activities
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Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study.

Sensors (Basel, Switzerland) May 27, 2023
Human activity recognition (HAR) is an important research problem in computer vision. This problem is widely applied to building applications in human-machine interactions, monitoring, etc. Especially, HAR based on the human skeleton creates intuitiv...
Deep Learning Neural Networks, Computer Humans Skeleton Databases, Factual Human Activities
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Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility.

Sensors (Basel, Switzerland) May 25, 2023
This paper presents a novel approach for counting hand-performed activities using deep learning and inertial measurement units (IMUs). The particular challenge in this task is finding the correct window size for capturing activities with different du...
Machine Learning Human Activities Neural Networks, Computer Algorithms Humans Deep Learning Acceleration
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