AIMC Topic: Human Activities

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Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques.

International journal of environmental research and public health Sep 27, 2022
Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses on generating innovative technology, products, and services to provide medical treatment and rehabilitation to the elderly, with the purpose of incre...
Human Activities Data Mining Machine Learning Humans Aged Technology
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Employment of Ensemble Machine Learning Methods for Human Activity Recognition.

Journal of healthcare engineering Sep 25, 2022
The endeavor to detect human activities and behaviors is targeted as a real-time detection mechanism that tends to predict the form of human motions and actions. Though sensors like accelerometer and gyroscopes are noticeable in human motion detectio...
Machine Learning Algorithms Software Human Activities Humans Employment
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A Multimodal Data Processing System for LiDAR-Based Human Activity Recognition.

IEEE transactions on cybernetics Sep 19, 2022
Increasingly, the task of detecting and recognizing the actions of a human has been delegated to some form of neural network processing camera or wearable sensor data. Due to the degree to which the camera can be affected by lighting and wearable sen...
Machine Learning Human Activities Neural Networks, Computer Humans
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Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting.

Sensors (Basel, Switzerland) Sep 16, 2022
Human action recognition and detection from unmanned aerial vehicles (UAVs), or drones, has emerged as a popular technical challenge in recent years, since it is related to many use case scenarios from environmental monitoring to search and rescue. I...
Machine Learning Unmanned Aerial Devices Human Activities Humans
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Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks.

Sensors (Basel, Switzerland) Sep 12, 2022
Continual learning (CL), also known as lifelong learning, is an emerging research topic that has been attracting increasing interest in the field of machine learning. With human activity recognition (HAR) playing a key role in enabling numerous real-...
Machine Learning Human Activities Humans Education, Continuing
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A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset.

Sensors (Basel, Switzerland) Sep 9, 2022
Depth video sequence-based deep models for recognizing human actions are scarce compared to RGB and skeleton video sequences-based models. This scarcity limits the research advancements based on depth data, as training deep models with small-scale da...
Neural Networks, Computer Databases, Factual Humans Human Activities Motion Skeleton
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Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects.

Computers in biology and medicine Sep 1, 2022
Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from wearable or stationary devices. A substantial amount of research has b...
Humans Information Storage and Retrieval Smartphone Human Activities Neural Networks, Computer Privacy
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Rich learning representations for human activity recognition: How to empower deep feature learning for biological time series.

Journal of biomedical informatics Aug 27, 2022
Deep learning versus feature engineering has drawn significant attention specifically for applications where expertly crafted features have been used for decades. Human activity recognition is no exception where statistical and motion specific featur...
Motion Human Activities Algorithms Humans Time Factors Neural Networks, Computer
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Human Activity Recognition: Review, Taxonomy and Open Challenges.

Sensors (Basel, Switzerland) Aug 27, 2022
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains, and vision and sensor-based data enable cutting-edge technologies to detect, recognize, and monitor human activities. Several reviews and surveys on HAR have alr...
Neural Networks, Computer Support Vector Machine Humans Human Activities Monitoring, Physiologic Activities of Daily Living
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Device-Free Multi-Location Human Activity Recognition Using Deep Complex Network.

Sensors (Basel, Switzerland) Aug 18, 2022
Wi-Fi-based human activity recognition has attracted broad attention for its advantages, which include being device-free, privacy-protected, unaffected by light, etc. Owing to the development of artificial intelligence techniques, existing methods ha...
Humans Machine Learning Artificial Intelligence Human Activities
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