Context-Aware Human Activity Recognition in Industrial Processes
Sensors, 2021 The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes.
Friedrich Niemann +3 more
doaj +1 more source
CBARS: cluster based classification for activity recognition systems [PDF]
, 2012 Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat +11 more
core +1 more source
KCAR : a knowledge-driven approach for concurrent activity recognition [PDF]
, 2015 Recognising human activities from sensors embedded in an environment or worn on bodies is an important and challenging research topic in pervasive computing.
Ye, Juan +2 more
core +1 more source
Mars: a personalised mobile activity recognition system [PDF]
, 2012 Mobile activity recognition focuses on inferring the current activities of a mobile user by leveraging the sensory data that is available on today’s smart phones.
Krishnaswamy, S. +14 more
core +1 more source
StreamAR: incremental and active learning with evolving sensory data for activity recognition [PDF]
, 2012 Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat +11 more
core +1 more source
Representation and recognition of human actions in video [PDF]
, 2011 PhDAutomated human action recognition plays a critical role in the development of human-machine communication, by aiming for a more natural interaction between artificial intelligence and the human society.
Bregonzio, Matteo
core +4 more sources
Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]
, 2013 Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett +7 more
core +1 more source
Location-based concept in activity log ontology for activity recognition in smart home domain [PDF]
, 2012 Activity recognition plays an important role in several researches. Nevertheless, the existing researches suffer various kinds of problems when human has a different lifestyle.
Lim, Azman Osman +11 more
core +1 more source
High Performance Activity Recognition Framework for Ambient Assisted Living in The Home Network Environment [PDF]
, 2014 Activity recognition has recently been playing an important role in several research domains, especially within the healthcare system. It is important for physicians to know what their patients do in daily life.
Lim, Azman Osman +3 more
core +1 more source
A Method to Human Activity Recognition Using Acceleration Databy Machine Learning [PDF]
, 2020 In this paper, we proposed a method to identify human behavior using a 3-axis acceleration sensor of a smartphone. To realize context-aware services such as efficient energy-saving appliance controland elderly monitoring, high-accuracy in-home living ...
白井, 治彦 +9 more
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