Results 41 to 50 of about 2,895,343 (277)
Going Deeper into First-Person Activity Recognition
, 2016 We bring together ideas from recent work on feature design for egocentric action recognition under one framework by exploring the use of deep convolutional neural networks (CNN).
Fan, Haoqi +2 more
core +1 more source
Human Activity Recognition [PDF]
, 2005 Motion is an important cue for the human visual system Mobiles have fascinated children, Zeno (circa 500 B.C.) studied moving arrows to pose a paradox and Zeke is investigating the human brain devoted to the understanding of motion. In computer vision research, motion has played an important role for the past thirty years.
Rama Chellappa +2 more
openaire +2 more sources
Activity Recognition and Prediction in Real Homes
, 2019 In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, our methods, and our current ...
A Lotfi +11 more
core +1 more source
DiagnosticsBackground: Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized ...
Mst Alema Khatun +5 more
doaj +1 more source
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
, 2019 Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Duan, Ling-Yu +5 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark +9 more
wiley +1 more source
On-Device Deep Personalization for Robust Activity Data Collection
Sensors, 2020 One of the biggest challenges of activity data collection is the need to rely on users and keep them engaged to continually provide labels. Recent breakthroughs in mobile platforms have proven effective in bringing deep neural networks powered ...
Nattaya Mairittha +2 more
doaj +1 more source
GART: The Gesture and Activity Recognition Toolkit [PDF]
, 2007 Presented at the 12th International Conference on Human-Computer Interaction, Beijing, China, July 2007.The original publication is available at www.springerlink.comThe Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed ...
Brashear, Helene +4 more
core +2 more sources
Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data
, 2018 Activity recognition from sensor data deals with various challenges, such as overlapping activities, activity labeling, and activity detection. Although each challenge in the field of recognition has great importance, the most important one refers to ...
Asghari, Parviz, Nazerfard, Ehsan
core +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source