AIMC Topic: Activities of Daily Living

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A Lean and Performant Hierarchical Model for Human Activity Recognition Using Body-Mounted Sensors.

Sensors (Basel, Switzerland) May 29, 2020
Here we propose a new machine learning algorithm for classification of human activities by means of accelerometer and gyroscope signals. Based on a novel hierarchical system of logistic regression classifiers and a relatively small set of features ex...
Wrist Activities of Daily Living Accelerometry Humans Machine Learning Algorithms Wearable Electronic Devices
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The fourier M2 robotic machine combined with occupational therapy on post-stroke upper limb function and independence-related quality of life: A randomized clinical trial.

Topics in stroke rehabilitation May 21, 2020
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using upper limb-based robot machines present opportunities to resolve the limitations inherent in Occupational therapy such as increased therapist-patient e...
Humans Female Aged Case-Control Studies Recovery of Function Robotics Male Middle Aged Quality of Life Stroke Rehabilitation Activities of Daily Living Occupational Therapy Upper Extremity Stroke Physical Therapy Modalities
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SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition.

Sensors (Basel, Switzerland) May 13, 2020
The recognition of activities of daily living (ADL) in smart environments is a well-known and an important research area, which presents the real-time state of humans in pervasive computing. The process of recognizing human activities generally invol...
Semantics Humans Algorithms Neural Networks, Computer Deep Learning Activities of Daily Living
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Accurate recognition of lower limb ambulation mode based on surface electromyography and motion data using machine learning.

Computer methods and programs in biomedicine Apr 29, 2020
Background and Objective The lower limb activity of recognition of the elderly, the weak, the disabled and the sick is an irreplaceable role in the caring of daily life. The main purpose of this study is to assess the feasibility of using the surface...
Electromyography Humans Machine Learning Walking Aged Algorithms Activities of Daily Living Support Vector Machine Lower Extremity
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Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models.

Sensors (Basel, Switzerland) Apr 21, 2020
The ability to identify and accurately predict abnormal behavior is important for health monitoring systems in smart environments. Specifically, for elderly persons wishing to maintain their independence and comfort in their living spaces, abnormal b...
Deep Learning Activities of Daily Living Problem Behavior Humans Neural Networks, Computer
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Caregiver perspectives on a smart home-based socially assistive robot for individuals with Alzheimer's disease and related dementia.

Disability and rehabilitation. Assistive technology Apr 17, 2020
: Innovative assistive technology can address aging-in-place and caregiving needs of individuals with Alzheimer's disease and related dementia (ADRD). The purpose of this study was to beta-test a novel socially assistive robot (SAR) with a cohort of ...
Humans Independent Living Alzheimer Disease Dementia Self-Help Devices Robotics Microcomputers Activities of Daily Living Caregivers
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Improving Grasp Function After Spinal Cord Injury With a Soft Robotic Glove.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 16, 2020
People with tetraplegia resulting from spinal cord injury experience debilitating hand impairments that may lead to lifelong dependence on others to perform activities of daily living. Wearable robotic devices that actively support hand function duri...
Hand Activities of Daily Living Spinal Cord Injuries Humans Hand Strength Robotics
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Improving energy expenditure estimates from wearable devices: A machine learning approach.

Journal of sports sciences Apr 6, 2020
A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of act...
Galvanic Skin Response Humans Jogging Calorimetry, Indirect Machine Learning Sedentary Behavior Algorithms Accelerometry Bicycling Fitness Trackers Middle Aged Body Composition Female Walking Exercise Adult Heart Rate Activities of Daily Living Body Mass Index Male Energy Metabolism Body Temperature
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A Video-Based DT-SVM School Violence Detecting Algorithm.

Sensors (Basel, Switzerland) Apr 3, 2020
School bullying is a serious problem among teenagers. School violence is one type of school bullying and considered to be the most harmful. As AI (Artificial Intelligence) techniques develop, there are now new methods to detect school violence. This ...
Video Recording Pattern Recognition, Automated Physical Abuse Support Vector Machine Schools Activities of Daily Living Humans Image Processing, Computer-Assisted
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A Multi-task Learning Model for Daily Activity Forecast in Smart Home.

Sensors (Basel, Switzerland) Mar 30, 2020
Daily activity forecasts play an important role in the daily lives of residents in smart homes. Category forecasts and occurrence time forecasts of daily activity are two key tasks. Category forecasts of daily activity are correlated with occurrence ...
Forecasting Deep Learning Humans Activities of Daily Living Neural Networks, Computer
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