AIMC Topic: Human Activities

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Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study.

JMIR mHealth and uHealth Feb 6, 2019
BACKGROUND: Wearable accelerometers have greatly improved measurement of physical activity, and the increasing popularity of smartwatches with inherent acceleration data collection suggest their potential use in the physical activity research domain;...
Humans Recognition, Psychology Smartphone Male Validation Studies as Topic Middle Aged Actigraphy Machine Learning Human Activities Female Accelerometry
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Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors.

IEEE journal of biomedical and health informatics Feb 1, 2019
The irregularity detection of daily behaviors for the elderly is an important issue in homecare. Plenty of mechanisms have been developed to detect the health condition of the elderly based on the explicit irregularity of several biomedical parameter...
Unsupervised Machine Learning Humans Aged Human Activities Algorithms Monitoring, Physiologic Home Care Services Databases, Factual
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A Semi-Automatic Annotation Approach for Human Activity Recognition.

Sensors (Basel, Switzerland) Jan 25, 2019
Modern smartphones and wearables often contain multiple embedded sensors which generate significant amounts of data. This information can be used for body monitoring-based areas such as healthcare, indoor location, user-adaptive recommendations and t...
Humans Machine Learning Activities of Daily Living Human Activities Algorithms Supervised Machine Learning
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A Survey of the Techniques for The Identification and Classification of Human Actions from Visual Data.

Sensors (Basel, Switzerland) Nov 15, 2018
Recognition of human actions form videos has been an active area of research because it has applications in various domains. The results of work in this field are used in video surveillance, automatic video labeling and human-computer interaction, am...
Visual Perception Humans Spatio-Temporal Analysis Surveys and Questionnaires Human Activities Deep Learning
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A Robust Deep Learning Approach for Position-Independent Smartphone-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Nov 1, 2018
Recently, modern smartphones equipped with a variety of embedded-sensors, such as accelerometers and gyroscopes, have been used as an alternative platform for human activity recognition (HAR), since they are cost-effective, unobtrusive and they facil...
Smartphone Human Activities Female Adult Deep Learning Neural Networks, Computer Time Factors Algorithms Male Humans
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Classifier Personalization for Activity Recognition Using Wrist Accelerometers.

IEEE journal of biomedical and health informatics Sep 12, 2018
Intersubject variability in accelerometer-based activity recognition may significantly affect classification accuracy, limiting a reliable extension of methods to new users. In this paper, we propose an approach for personalizing classification rules...
Machine Learning Wearable Electronic Devices Wrist Human Activities Support Vector Machine Signal Processing, Computer-Assisted Accelerometry Algorithms Humans
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Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition.

Sensors (Basel, Switzerland) Sep 6, 2018
Detection of human activities along with the associated context is of key importance for various application areas, including assisted living and well-being. To predict a user's context in the daily-life situation a system needs to learn from multimo...
Unsupervised Machine Learning Human Activities Humans
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Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network.

Sensors (Basel, Switzerland) Aug 31, 2018
Wearable inertial measurement unit (IMU) sensors are powerful enablers for acquisition of motion data. Specifically, in human activity recognition (HAR), IMU sensor data collected from human motion are categorically combined to formulate datasets tha...
Deep Learning Wearable Electronic Devices Humans Neural Networks, Computer Movement Human Activities
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Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS.

Journal of environmental management Aug 13, 2018
Over the past few years, the need for sustainable environmental management has increased rapidly and green management has emerged as an important tool for the same. The role of Green Human Resource Management (GHRM) practices in environmental managem...
Human Activities Humans Fuzzy Logic Conservation of Natural Resources
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Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone.

Sensors (Basel, Switzerland) Jul 9, 2018
Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, espec...
Supervised Machine Learning Smartphone Humans Acceleration Automation Support Vector Machine Neural Networks, Computer Human Activities
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