AIMC Topic: Behavior

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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis.

Journal of visualized experiments : JoVE Feb 6, 2020
Understanding behavior is the first step to truly understanding neural mechanisms in the brain that drive it. Traditional behavioral analysis methods often do not capture the richness inherent to the natural behavior. Here, we provide detailed step-b...
Deep Learning User-Computer Interface Imaging, Three-Dimensional Humans Neural Networks, Computer Animals Behavior, Animal Computer Graphics Behavior Interpersonal Relations Mice Video Recording Automation
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Towards Mixed-Initiative Human-Robot Interaction: Assessment of Discriminative Physiological and Behavioral Features for Performance Prediction.

Sensors (Basel, Switzerland) Jan 5, 2020
The design of human-robot interactions is a key challenge to optimize operational performance. A promising approach is to consider mixed-initiative interactions in which the tasks and authority of each human and artificial agents are dynamically defi...
Male User-Computer Interface Biosensing Techniques Robotics Man-Machine Systems Behavior Humans Female Adult
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Discrimination of the behavioural dynamics of visually impaired infants via deep learning.

Nature biomedical engineering Oct 21, 2019
Sensory loss is associated with behavioural changes, but how behavioural dynamics change when a sensory modality is impaired remains unclear. Here, by recording under a designed standardized scenario, the behavioural phenotypes of 4,196 infants who e...
Algorithms Phenotype Female Humans Machine Learning Neuronal Plasticity Vision Disorders Sensation Male Infant Deep Learning Behavior Persons with Visual Disabilities Videotape Recording
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BIA: ehavior dentification lgorithm Using Unsupervised Learning Based on Sensor Data for Home Elderly.

IEEE journal of biomedical and health informatics Sep 24, 2019
Behavior identification plays an important role in supporting homecare for the elderly living alone. In literature, plenty of algorithms have been designed to identify behaviors of the elderly by learning features or extracting patterns from sensor d...
Home Care Services Monitoring, Physiologic Models, Statistical Unsupervised Machine Learning Video Recording Human Activities Behavior Algorithms Aged Wearable Electronic Devices Humans
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Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis.

Journal of medical systems May 28, 2019
A psychological disorder is a mutilation state of the body that intervenes the imperative functioning of the mind or brain. In the last few years, the number of psychological disorders patients has been significantly raised. This paper presents a com...
Humans Mental Disorders Brain Diseases Behavior Interpersonal Relations Emotions Supervised Machine Learning Data Mining
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Predicting Academic Performance of Students Using a Hybrid Data Mining Approach.

Journal of medical systems Apr 30, 2019
Data mining offers strong techniques for different sectors involving education. In the education field the research is developing rapidly increasing due to huge number of student's information which can be used to invent valuable pattern pertaining l...
Sex Factors Behavior Academic Performance Interatrial Block Support Vector Machine Decision Trees Data Mining Neural Networks, Computer India Universities Humans
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Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features.

Sensors (Basel, Switzerland) Mar 22, 2019
In this paper, a preliminary baseball player behavior classification system is proposed. By using multiple IoT sensors and cameras, the proposed method accurately recognizes many of baseball players' behaviors by analyzing signals from heterogeneous ...
Humans Neural Networks, Computer Deep Learning Joints Photography Behavior Baseball Wearable Electronic Devices Accelerometry
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LDA Ensembles for Interactive Exploration and Categorization of Behaviors.

IEEE transactions on visualization and computer graphics Mar 8, 2019
We define behavior as a set of actions performed by some actor during a period of time. We consider the problem of analyzing a large collection of behaviors by multiple actors, more specifically, identifying typical behaviors and spotting anomalous b...
Humans Machine Learning Algorithms Computer Graphics User-Computer Interface Behavior Models, Statistical Natural Language Processing
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A model of event knowledge.

Psychological review Jan 31, 2019
Our knowledge of events and situations in the world plays a critical role in our ability to understand what is happening around us, to predict what might happen next, and to comprehend language. What has not been so clear is the form and structure of...
Knowledge Behavior Executive Function Humans Learning Neural Networks, Computer Thinking Models, Psychological
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A scoping review of ontologies related to human behaviour change.

Nature human behaviour Jan 14, 2019
Ontologies are classification systems specifying entities, definitions and inter-relationships for a given domain, with the potential to advance knowledge about human behaviour change. A scoping review was conducted to: (1) identify what ontologies e...
Behavior Therapy Humans Biological Ontologies Mental Disorders Behavior Emotions Mental Processes
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