AIMC Topic: Human Activities

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Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.

PloS one Dec 22, 2016
Do scaling relations always provide the means to anticipate the relationships between the size of cities, costs of maintenance, and the socio-economic benefits resulting from their growth? Scaling laws are considered a universal principle that descri...
Human Activities Physiological Phenomena Biological Phenomena Urban Population Geography Population Density Humans Neural Networks, Computer Algorithms Cities Socioeconomic Factors
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A Human Activity Recognition System Using Skeleton Data from RGBD Sensors.

Computational intelligence and neuroscience Mar 16, 2016
The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to addr...
Algorithms Female Aged Humans Machine Learning Male Pattern Recognition, Automated Support Vector Machine Accelerometry Joints Human Activities Skeleton
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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition.

Sensors (Basel, Switzerland) Jan 18, 2016
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sens...
Human Activities Signal Processing, Computer-Assisted Monitoring, Ambulatory Clothing Humans Neural Networks, Computer Machine Learning Databases, Factual
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Close Human Interaction Recognition Using Patch-Aware Models.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 5, 2015
This paper addresses the problem of recognizing human interactions with close physical contact from videos. Due to ambiguities in feature-to-person assignments and frequent occlusions in close interactions, it is difficult to accurately extract the i...
Human Activities Support Vector Machine Video Recording Pattern Recognition, Automated Machine Learning Image Processing, Computer-Assisted Humans
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Automated Cognitive Health Assessment From Smart Home-Based Behavior Data.

IEEE journal of biomedical and health informatics Aug 17, 2015
Smart home technologies offer potential benefits for assisting clinicians by automating health monitoring and well-being assessment. In this paper, we examine the actual benefits of smart home-based analysis by monitoring daily behavior in the home a...
Aged Aged, 80 and over Male Signal Processing, Computer-Assisted Monitoring, Ambulatory Human Activities Machine Learning Algorithms Female Humans Home Care Services
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Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques.

IEEE journal of biomedical and health informatics Aug 6, 2015
One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. In this study, we use smart home and wearable sensors to collect data, while ( n = 84) older adults ...
Male Parkinson Disease Remote Sensing Technology Monitoring, Ambulatory Human Activities Humans Machine Learning Female Aged
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Graph Embedded Extreme Learning Machine.

IEEE transactions on cybernetics Mar 2, 2015
In this paper, we propose a novel extension of the extreme learning machine (ELM) algorithm for single-hidden layer feedforward neural network training that is able to incorporate subspace learning (SL) criteria on the optimization process followed f...
Video Recording Face Pattern Recognition, Automated Male Image Processing, Computer-Assisted Human Activities Humans Machine Learning Female
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Pervasive Sound Sensing: A Weakly Supervised Training Approach.

IEEE transactions on cybernetics Feb 6, 2015
Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have the potential to reveal key information about a person's behavior. However, they have been utilized to a significantly lesser extent than other smart...
Sound Pattern Recognition, Automated Human Activities Smartphone Humans Support Vector Machine Databases, Factual Supervised Machine Learning
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Multipe/single-view human action recognition via part-induced multitask structural learning.

IEEE transactions on cybernetics Aug 27, 2014
This paper proposes a unified framework for multiple/single-view human action recognition. First, we propose the hierarchical partwise bag-of-words representation which encodes both local and global visual saliency based on the body structure cue. Th...
Human Activities Algorithms Video Recording Pattern Recognition, Automated Humans Artificial Intelligence
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Learning Sensor Sample-Reweighting for Dynamic Early-Exit Activity Recognition Via Meta Learning.

IEEE journal of biomedical and health informatics Jun 1, 2025
During recent years, dynamic early-exit has provided a promising paradigm to improve the computational efficiency of deep neural networks by constructing multiple classifiers to let easy samples exit at shallow layers while avoiding redundant computa...
Humans Neural Networks, Computer Wearable Electronic Devices Signal Processing, Computer-Assisted Machine Learning Human Activities Algorithms Deep Learning
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