AIMC Topic: Accelerometry

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A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory.

Sensors (Basel, Switzerland) Mar 27, 2020
Smartphones have emerged as a revolutionary technology for monitoring everyday life, and they have played an important role in Human Activity Recognition (HAR) due to its ubiquity. The sensors embedded in these devices allows recognizing human behavi...
Humans Monitoring, Physiologic Accelerometry Human Activities Information Theory Machine Learning Algorithms Databases, Factual Smartphone
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A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets.

Sensors (Basel, Switzerland) Mar 6, 2020
Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention during the last years. T...
Female Reproducibility of Results Aged Aged, 80 and over Young Adult Accidental Falls Adolescent Activities of Daily Living Humans Neural Networks, Computer Databases as Topic Accelerometry
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Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

Biomedical physics & engineering express Mar 4, 2020
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring the progression of Parkinson's disease (PD). However, these measurements are often not as accurate or reliable as clinical evaluations because it is ch...
Humans Machine Learning Motor Skills Crowdsourcing Tremor Male Wearable Electronic Devices Gait Middle Aged Smartphone Pattern Recognition, Automated Disease Progression Area Under Curve Posture Accelerometry Diagnosis, Computer-Assisted Postural Balance Female Parkinson Disease Life Style Remote Sensing Technology Reproducibility of Results Walking Aged
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Application of Raw Accelerometer Data and Machine-Learning Techniques to Characterize Human Movement Behavior: A Systematic Scoping Review.

Journal of physical activity & health Mar 1, 2020
BACKGROUND: Application of machine learning for classifying human behavior is increasingly common as access to raw accelerometer data improves. The aims of this scoping review are (1) to examine if machine-learning techniques can accurately identify ...
Movement Machine Learning Algorithms Exercise Humans Accelerometry
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A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning.

Journal of medical systems Feb 28, 2020
Poor Medication adherence causes significant economic impact resulting in hospital readmission, hospital visits and other healthcare costs. The authors developed a smartwatch application and a cloud based data pipeline for developing a user-friendly ...
Cloud Computing Mobile Applications Humans Bayes Theorem Accelerometry Machine Learning Wearable Electronic Devices Medication Adherence Smartphone
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Auto detecting deliveries in elite cricket fast bowlers using microsensors and machine learning.

Journal of sports sciences Feb 26, 2020
Cricket fast bowlers are at a high risk of injury occurrence, which has previously been shown to be correlated to bowling workloads. This study aimed to develop and test an algorithm that can automatically, reliably and accurately detect bowling deli...
Motor Skills Cricket Sport Wearable Electronic Devices Humans Athletic Performance Machine Learning Accelerometry Algorithms Male Young Adult Risk Assessment Geographic Information Systems Adult Adolescent Cross-Sectional Studies Biomechanical Phenomena
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Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition.

Sensors (Basel, Switzerland) Feb 22, 2020
Human activity recognition (HAR) has become an increasingly popular application of machine learning across a range of domains. Typically the HAR task that a machine learning algorithm is trained for requires separating multiple activities such as wal...
Humans Machine Learning Algorithms Accelerometry Human Activities
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IoT Based Predictive Maintenance Management of Medical Equipment.

Journal of medical systems Feb 20, 2020
Technological advancements are the main drivers of the healthcare industry as it has a high impact on delivering the best patient care. Recent years witnessed unprecedented growth in the number of medical equipment manufactured to aid high-quality pa...
Internet of Things Costs and Cost Analysis Accelerometry Hospital Administration Maintenance Immunoassay United Arab Emirates Efficiency, Organizational Equipment and Supplies Time Factors Support Vector Machine Equipment Failure Humans Machine Learning
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Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients.

Journal of healthcare engineering Feb 18, 2020
In the last few years, the importance of measuring gait characteristics has increased tenfold due to their direct relationship with various neurological diseases. As patients suffering from Parkinson's disease (PD) are more prone to a movement disord...
Gait Humans Aged Accelerometry Machine Learning Dopamine Male Female Wearable Electronic Devices Parkinson Disease
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Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques.

Journal of medical systems Feb 17, 2020
Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress detection can be considered...
Adult Male Adolescent Stress, Psychological Female Reproducibility of Results Young Adult Social Environment Inositol Time Factors Smartphone Bayes Theorem Accelerometry Humans Machine Learning Algorithms
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