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Sensors for Human Activity Recognition II

Human activity recognition (HAR) has been playing an increasingly important role in the digital age. High-quality sensory observations applicable to recognizing users' activities, whether through external or internal (wearable) sensing technology, are inseparable from sensors' sophisticated design a...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2025
Soggetti:
internet of things
prototyping process
energy-saving
interactive design
user behaviors
ambient agents
artificial intelligence
deep learning
counting
weakly labeled data
variable length size
non-uniform shape data
acrophobia
virtual reality
body movement
machine learning
sensor network
Human Activity Recognition
Domain Generalization
regularization
accelerometer
mental effort
multimodal physiological signals
sensor fusion
neuroergonomics
human–machine interaction
wearable sensors
particulate matter
activity recognition
low-cost sensors
participatory research
automatic facial expression recognition
naturalistic context
multimodal large language model
device-free behavioral sensing
orthogonal signal interference
user identification
graph neural network
scene understanding
activities of daily living analysis
segmentation
feature fusion
multi-layer perceptron
Yeo–Johnson
n/a
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
thema EDItEUR::P Mathematics and Science
Accesso online:ONIX_20250220_9783725828036_440
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ONIX_20250220_9783725828036_440

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