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A concise review on sensor signal acquisition and transformation applied to human activity recognition and human–robot interaction
(SAGE Publications Ltd., 2019)
Human activitiy recognition deals with the integration of sensing and reasoning aiming to understand better people’s actions. Moreover, it plays an important role in human interaction, human–robot interaction, and ...
A survey of machine learning approaches for age related macular degeneration diagnosis and prediction
(Springer Verlag, 2018)
Age Related Macular Degeneration (AMD) is a complex disease caused by the interaction of multiple genes and environmental factors. AMD is the leading cause of visual dysfunction and blindness in developed countries, and a ...
Versatility of artificial hydrocarbon networks for supervised learning
(Springer Verlag, 2019)
Surveys on supervised machine show that each technique has strengths and weaknesses that make each of them more suitable for a particular domain or learning task. No technique is capable to tackle every supervised learning ...
Machine learning approach for pre-eclampsia risk factors association
(Association for Computing Machinery, 2018)
The preeclampsia/eclampsia syndrome is a multisystem disorder that usually includes cardiovascular changes, hematologic abnormalities, hepatic and renal impairment, and neurologic or cerebral manifestations. Preeclampsia ...
Human activity recognition on mobile devices using artificial hydrocarbon networks
(Springer Verlag, 2018)
Human activity recognition (HAR) aims to classify and identify activities based on data-driven from different devices, such as sensors or cameras. Particularly, mobile devices have been used for this recognition task. ...
A survey on freezing of gait detection and prediction in Parkinson’s disease
(Springer Science and Business Media Deutschland GmbH, 2020-10-07)
Most of Parkinson’s disease (PD) patients present a set of motor and non-motor symptoms and behaviors that vary during the day and from day-to-day. In particular, freezing of gait (FOG) impairs their quality of life and ...
Online testing in machine learning approach for fall detection
(Institute of Electrical and Electronics Engineers Inc., 2020)
Robust fall detectors are needed to reduce the time in which a person can receive medical assistance, and mitigate negative effects when a fall occurs. Robustness in fall detection systems is difficult to achieve given ...
Comparative analysis of artificial hydrocarbon networks versus convolutional neural networks in human activity recognition
(Institute of Electrical and Electronics Engineers Inc., 2020)
Human activity recognition (HAR) has gained interest in the research communities in order to know the behavior and context of users for medical, sports performance evaluation, ambient assisted living and security applications. ...
Artificial hydrocarbon networks for freezing of gait detection in Parkinso's disease
(Institute of Electrical and Electronics Engineers Inc., 2020-11)
Freezing of gait (FoG) is one of the most impairing phenomenon experienced by Parkinson's disease (PD) patients. This phenomenon is associated with falls and is an important factor that limits autonomy and impairs quality ...