Results 31 to 40 of about 2,293,223 (269)
Sensors, 2016 Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services.
Hiram Ponce +2 more
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Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets
IEEE Access, 2022 The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors.
Minjung Lee, Seoung Bum Kim
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Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition [PDF]
, 2016 Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sensor ...
Alsheikh +11 more
core +2 more sources
Time Analysis in Human Activity Recognition
Neural Processing Letters, 2021 Continuous human activity recognition from inertial signals is performed by splitting these temporal signals into time windows and identifying the activity in each window. Defining the appropriate window duration has been the target of several previous works.
Gil Martín, Manuel +3 more
openaire +2 more sources
Physical Human Activity Recognition Using Wearable Sensors
Sensors, 2015 This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower ...
Ferhat Attal +5 more
doaj +1 more source
International Journal of Innovative Technology and Exploring Engineering, 2020 With advancement in the field of health and medicine, new and better sensors are being developed which help monitor various aspects of an individual’s health. To provide the users with effective analysis related to their health using these sensors, an optimized and accurate solution is required.
Chetashri Bhadane +3 more
openaire +2 more sources
A CSI-Based Multi-Environment Human Activity Recognition Framework
Applied Sciences, 2022 Passive human activity recognition (HAR) systems, in which no sensors are attached to the subject, provide great potentials compared to conventional systems.
Baha A. Alsaify +4 more
doaj +1 more source
A computer model of auditory efferent suppression: Implications for the recognition of speech in noise [PDF]
, 2010 The neural mechanisms underlying the ability of human listeners to recognize speech in the presence of background noise are still imperfectly understood.
Brown, GJ, Ferry, RT, Meddis, R
core +1 more source
State of the art on technological trends for the analysis of behavior and human activities
Visión Electrónica, 2022 The study of human behavior allows the knowledge about people's behaviors, behavior determined by multiple factors: cultural, social, psychological, genetic, religious, among others, which affect the relationships and interaction with the environment ...
Freddy Oswaldo Ovalles-Pabón
doaj
Window Size Impact in Human Activity Recognition
Sensors, 2014 Signal segmentation is a crucial stage in the activity recognition process; however, this has been rarely and vaguely characterized so far. Windowing approaches are normally used for segmentation, but no clear consensus exists on which window size should
Oresti Banos +4 more
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