AIMC Topic: Human Activities

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Earth hacker.

Nature Aug 1, 2018
Big Data Endangered Species Ecology Technology Animals Food Chain Humans Satellite Imagery Financing, Organized Sustainable Development Artificial Intelligence Human Activities
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Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Human activity recognition (HAR) is an important component in health-care systems. For example, it can enable context-aware applications such as elderly care and patient monitoring. Relying on a set of training data, supervised machine learning algor...
Human Activities Humans Algorithms Supervised Machine Learning Knowledge Bases Wearable Electronic Devices
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Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Recent advancements in mobile devices, data analysis, and wearable sensors render the capability of in-place health monitoring. Supervised machine learning algorithms, the core intelligence of these systems, learn from labeled training data. However,...
Algorithms Deep Learning Supervised Machine Learning Humans Human Activities
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Real-Time Human Physical Activity Recognition with Low Latency Prediction Feedback Using Raw IMU Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In the realm of Human Activity Recognition (HAR), supervised machine learning and deep learning are commonly used. Their training is done using time and frequency features extracted from raw data (inertial and gyroscopic). Nevertheless, raw data are ...
Algorithms Feedback Exercise Humans Support Vector Machine Human Activities
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Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In recent years machine learning methods for human activity recognition have been found very effective. These classify discriminative features generated from raw input sequences acquired from body-worn inertial sensors. However, it involves an explic...
Algorithms Humans Movement Neural Networks, Computer Human Activities Machine Learning
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Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 1, 2018
Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, long short-term memory (LSTM) networks have shown promising performance in this task due to their strengths in modeling the dependencies and dynami...
Pattern Recognition, Automated Human Activities Databases, Factual Models, Neurological Humans Machine Learning Neural Networks, Computer Algorithms
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A hybrid rule and machine learning based generic alerting platform for smart environments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Existing smart environment based alert solutions have adopted a relatively complex and tailored approach to supporting individuals. These solutions have involved sensor based monitoring, activity recognition and assistance provisioning. Traditionally...
Pattern Recognition, Automated Software Humans Human Activities Monitoring, Physiologic Machine Learning
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Anticipating Human Activities Using Object Affordances for Reactive Robotic Response.

IEEE transactions on pattern analysis and machine intelligence Jan 1, 2016
An important aspect of human perception is anticipation, which we use extensively in our day-to-day activities when interacting with other humans as well as with our surroundings. Anticipating which activities will a human do next (and how) can enabl...
Anticipation, Psychological Perception Movement Humans Imaging, Three-Dimensional Algorithms Robotics Human Activities Machine Learning Models, Statistical Video Recording
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Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition.

IEEE transactions on pattern analysis and machine intelligence Jul 1, 2015
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach ...
Video Recording Human Activities Pattern Recognition, Visual Eye Movements Models, Neurological Humans Young Adult Artificial Intelligence Adult Female Male
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Machine intelligence.

Nature May 28, 2015
Robotics Human Activities Neural Networks, Computer Humans Algorithms Artificial Intelligence Computers
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