Results 91 to 100 of about 15,643,473 (301)
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
Human gait recognition with matrix representation [PDF]
, 2006 Human gait is an important biometric feature. It can be perceived from a great distance and has recently attracted greater attention in video-surveillance-related applications, such as closed-circuit television.
Tao, D. +16 more
core +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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
core
Flow chart for human activity recognition.
, 2014 Flow chart for human activity recognition.
Jin Qi (206988), Zhiyong Yang (11266)
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.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
Opportunities for activity recognition using ultrasound doppler sensing on unmodified mobile phones
, 2022 Art. 8, 10 S.Nowadays activity recognition on smartphones is ubiquitously applied, for example to monitor personal health. The smartphone's sensors act as a foundation to provide information on movements, the user's location or direction.
Karolus, Jakob +4 more
core +1 more source