Results 31 to 40 of about 2,923,075 (185)
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
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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
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
Sensors, 2021 This review presents the state of the art and a global overview of research challenges of real-time distributed activity recognition in the field of healthcare.
Rani Baghezza +3 more
doaj +1 more source
A Comprehensive Study of Activity Recognition Using Accelerometers
Informatics, 2018 This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly focused on long-term activity recognition in real-world settings.
Niall Twomey +6 more
doaj +1 more source
Cooperation of different neuronal systems during hand sign recognition. [PDF]
, 2004 Hand signs with symbolic meaning can often be utilized more successfully than words to communicate an intention; however, the underlying brain mechanisms are undefined.
Adolphs +61 more
core +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
Sensors, 2022 The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments.
Miguel Ortiz-Barrios +6 more
doaj +1 more source
Human activity recognition from object interaction in domestic scenarios [PDF]
, 2016 This paper presents a real time approach to the recognition of human activity based on the interaction between people and objects in domestic settings, specifically in a kitchen.
Aranda López, Juan +1 more
core +1 more source
Activity Discovery and Activity Recognition: A New Partnership [PDF]
IEEE Transactions on Cybernetics, 2013 Activity recognition has received increasing attention from the machine learning community. Of particular interest is the ability to recognize activities in real time from streaming data, but this presents a number of challenges not faced by traditional offline approaches. Among these challenges is handling the large amount of data that does not belong
Diane J. Cook +2 more
openaire +3 more sources