AIMC Topic: Accelerometry

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Human Body Mixed Motion Pattern Recognition Method Based on Multi-Source Feature Parameter Fusion.

Sensors (Basel, Switzerland) Jan 18, 2020
Aiming at the requirement of rapid recognition of the wearer's gait stage in the process of intelligent hybrid control of an exoskeleton, this paper studies the human body mixed motion pattern recognition technology based on multi-source feature para...
Gait Pattern Recognition, Automated Accelerometry Movement Humans Neural Networks, Computer Lower Extremity Exoskeleton Device
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A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method.

Sensors (Basel, Switzerland) Jan 17, 2020
With the emergence of numerical sensors in sports, there is an increasing need for tools and methods to compute objective motion parameters with great accuracy. In particular, inertial measurement units are increasingly used in the clinical domain or...
Signal Processing, Computer-Assisted Gait Horses Accelerometry Machine Learning Animals Equipment Design
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Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning.

Sensors (Basel, Switzerland) Dec 24, 2019
Recent studies have reported the application of artificial neural network (ANN) techniques on data of inertial measurement units (IMUs) to predict ground reaction forces (GRFs), which could serve as quantitative indicators of sports performance or re...
Male Wearable Electronic Devices Lower Extremity Kinetics Humans Machine Learning Young Adult Adult Walking Accelerometry
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Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study.

Computational and mathematical methods in medicine Dec 19, 2019
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other words, machine learning enables an automaton to make its own decisions based on a previous training pr...
Monitoring, Ambulatory Adult ROC Curve Humans Databases, Factual Male Mexico Accelerometry Biomarkers Artificial Intelligence Walking Middle Aged Diabetic Neuropathies Female Deep Learning Algorithms Gait Reproducibility of Results
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Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Sensors (Basel, Switzerland) Dec 5, 2019
Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning (ML) models to gait characteristics may support the classification process. Comparing performance of ML models used in various studies can be problematic due to di...
Accelerometry Middle Aged Case-Control Studies Machine Learning Parkinson Disease Wearable Electronic Devices Humans Female Area Under Curve ROC Curve Aged Walking Male Gait
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Wearable Fall Detector Using Recurrent Neural Networks.

Sensors (Basel, Switzerland) Nov 8, 2019
Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous and ubiquitous monitoring systems. The effectiveness for analy...
Wearable Electronic Devices Monitoring, Ambulatory Accelerometry Humans Neural Networks, Computer Algorithms Accidental Falls
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Profiling movement behaviours in pre-school children: A self-organised map approach.

Journal of sports sciences Nov 7, 2019
Application of machine learning techniques has the potential to yield unseen insights into movement and permits visualisation of complex behaviours and tangible profiles. The aim of this study was to identify profiles of relative motor competence (MC...
Accelerometry Fitness Trackers Movement Motor Activity Exercise Child, Preschool Body Mass Index Humans Machine Learning Female Cross-Sectional Studies Male
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Determining motions with an IMU during level walking and slope and stair walking.

Journal of sports sciences Oct 17, 2019
This study investigated whether using an inertial measurement unit (IMU) can identify different walking conditions, including level walking (LW), descent (DC) and ascent (AC) slope walking as well as downstairs (DS) and upstairs (US) walking. Thirty ...
Accelerometry Movement Stair Climbing Adult Biomechanical Phenomena Male Deep Learning Humans Wearable Electronic Devices Female Walking Young Adult Acceleration Task Performance and Analysis
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A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices.

Journal of healthcare engineering Oct 3, 2019
Detection of the state of mind has increasingly grown into a much favored study in recent years. After the advent of smart wearables in the market, each individual now expects to be delivered with state-of-the-art reports about his body. The most dom...
Biomedical Engineering Mental Processes Respiration Accelerometry Blood Volume Humans Neural Networks, Computer Female Adult Monitoring, Physiologic Male Deep Learning Electromyography Wearable Electronic Devices Models, Biological Electrocardiography Heart Rate
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Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net.

IEEE journal of biomedical and health informatics Sep 16, 2019
In this paper, deep belief net (DBN) was applied into the field of wearable-sensor based Chinese sign language (CSL) recognition. Eight subjects were involved in the study, and all of the subjects finished a five-day experiment performing CSL on a ta...
Adult Humans Sign Language Male Young Adult Deep Learning Asian People Wearable Electronic Devices Pattern Recognition, Automated China Gestures Accelerometry Signal Processing, Computer-Assisted Forearm Electromyography
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