AIMC Topic: Motor Activity
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Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system.
Applied ergonomics
Jan 2, 2016
In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological a...
Making Activity Recognition Robust against Deceptive Behavior.
PloS one
Dec 11, 2015
Healthcare services increasingly use the activity recognition technology to track the daily activities of individuals. In some cases, this is used to provide incentives. For example, some health insurance companies offer discount to customers who are...
Multimodal hybrid reasoning methodology for personalized wellbeing services.
Computers in biology and medicine
Dec 2, 2015
A wellness system provides wellbeing recommendations to support experts in promoting a healthier lifestyle and inducing individuals to adopt healthy habits. Adopting physical activity effectively promotes a healthier lifestyle. A physical activity re...
Test-retest reliability of fMRI experiments during robot-assisted active and passive stepping.
Journal of neuroengineering and rehabilitation
Nov 17, 2015
BACKGROUND: Brain activity has been shown to undergo cortical and sub-cortical functional reorganisation over the course of gait rehabilitation in patients suffering from a spinal cord injury or a stroke. These changes however, have not been complete...
A novel turning behavior control method for rat-robot through the stimulation of ventral posteromedial thalamic nucleus.
Behavioural brain research
Nov 11, 2015
The concept of a rat-robot was initially introduced in 2002, bringing to the field, a novel area of research using modern research into neuroscience and robotics. This paper brings to the table, a study into the method best used for navigation system...
Spatially regularized machine learning for task and resting-state fMRI.
Journal of neuroscience methods
Oct 16, 2015
BACKGROUND: Reliable mapping of brain function across sessions and/or subjects in task- and resting-state has been a critical challenge for quantitative fMRI studies although it has been intensively addressed in the past decades.
A neural network that finds a naturalistic solution for the production of muscle activity.
Nature neuroscience
Jun 15, 2015
It remains an open question how neural responses in motor cortex relate to movement. We explored the hypothesis that motor cortex reflects dynamics appropriate for generating temporally patterned outgoing commands. To formalize this hypothesis, we tr...
FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.
TheScientificWorldJournal
Jun 15, 2015
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emuls...
Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors.
IEEE journal of biomedical and health informatics
May 13, 2015
This paper presents an approach to designing a method for the estimation of human energy expenditure (EE). The approach first evaluates different sensors and their combinations. After that, multiple regression models are trained utilizing data from d...
A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control.
Frontiers in neural circuits
May 1, 2015
The cerebellar granule cells (GCs) have been proposed to perform lossless, adaptive spatio-temporal coding of incoming sensory/motor information required by downstream cerebellar circuits to support motor learning, motor coordination, and cognition. ...
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