Results 21 to 30 of about 2,910,569 (277)
Two-Stage Human Activity Recognition Using 2D-ConvNet
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector.
Kamal Kant Verma +3 more
doaj +1 more source
Are Smart Homes Adequate for Older Adults with Dementia?
Sensors, 2022 Smart home technologies can enable older adults, including those with dementia, to live more independently in their homes for a longer time. Activity recognition, in combination with anomaly detection, has shown the potential to recognise users’ daily ...
Gibson Chimamiwa +4 more
doaj +1 more source
Sensors, 2021 The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods.
Maike Stoeve +4 more
doaj +1 more source
Fast human activity recognition based on structure and motion [PDF]
, 2011 This is the post-print version of the final paper published in Pattern Recognition Letters. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural ...
Boulgouris, NV, Hu, J
core +1 more source
A Hierarchy-Based System for Recognizing Customer Activity in Retail Environments
Sensors, 2021 Customer activity (CA) in retail environments, which ranges over various shopper situations in store spaces, provides valuable information for store management and marketing planning.
Jiahao Wen +3 more
doaj +1 more source
Development of Transformations from Business Process Models to Implementations by Reuse [PDF]
, 2007 This paper presents an approach for developing transformations from business process models to implementations that facilitates reuse. A transformation is developed as a composition of three smaller tasks: pattern recognition, pattern realization and ...
Dirgahayu, Teduh +2 more
core +4 more sources
Confidence-Calibrated Human Activity Recognition [PDF]
Sensors, 2021 Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sensors. However, most state-of-the-art DL models used for AR are trained to discriminate different activity
Debaditya Roy +2 more
openaire +4 more sources
Micro Activities Recognition in Uncontrolled Environments
Applied Sciences, 2021 Deep learning has proven to be very useful for the image understanding in efficient manners. Assembly of complex machines is very common in industries. The assembly of automated teller machines (ATM) is one of the examples.
Ali Abbas +3 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
Table Tennis Tutor: Forehand Strokes Classification Based on Multimodal Data and Neural Networks
Sensors, 2021 Beginner table-tennis players require constant real-time feedback while learning the fundamental techniques. However, due to various constraints such as the mentor’s inability to be around all the time, expensive sensors and equipment for sports training,
Khaleel Asyraaf Mat Sanusi +3 more
doaj +1 more source