Results 71 to 80 of about 14,968,121 (261)
ShoeTect2.0: Real-Time Activity Recognition Using MobileNet CNN with Multisensory Smart Footwear
260268In this paper, we introduce a proof-of-concept multi-sensory footwear prototype with artificial intelligence to facilitate human activity recognition.
Matthies, Denys +3 more
core +1 more source
Human activity recognition and prediction
, 2016 This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained
Fu, Yun
core +1 more source
Bayesian Recognition of Motion Related Activities with Inertial Sensors [PDF]
, 2010 This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit (IMU) worn on the belt.
Maria Josefa Vera Nadales +7 more
core +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Human activity recognition based on accelerometer and gyroscope sensors
, 2017 Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve many real-life, human-centric problems such as eldercare and healthcare. HAR aims to recognize common human activities in real life settings.
Mishkhal, Israa Adnan
core
Recognition of Human Motion Related Activities from Sensors [PDF]
, 2010 This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit (IMU) worn on the belt.
Vera Nadales, Maria Josefa
core
Human Activity Recognition Using Smartphones
, 2018 Human Activity Recognition(HAR) is classifying activity of a person using responsive sensors that are affected from human movement. Both users and capabilities(sensors) of smartphones increase and users usually carry their smartphone with them.
Bulbul, Erhan +2 more
core +1 more source
Skeleton-based human action and gesture recognition for human-robot collaboration [PDF]
, 2022 openThe continuous development of robotic and sensing technologies has led in recent years to an increased interest in human-robot collaborative systems, in which humans and robots perform tasks in shared spaces and interact with close and direct ...
LAZZARETTO, MARGHERITA
core
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Human activity recognition based on triaxial accelerometer
, 2012 Activity recognition has become one of the most popular research topics. In this paper, efforts on activity recognition based on the WIMU (Wireless Inertial Measurement Unit) sensors are reported. We use triaxial accelerometer to capture the acceleration
Zhu SJ(朱思俊) +3 more
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