Results 21 to 30 of about 7,481,837 (104)
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 +4 more
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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
A Transformer-Based Hybrid Model for Human Activity Recognition Using Smart Home Environmental Sensor Data [PDF]
مدیریت مهندسی و رایانش نرمWith the rapid expansion of smart homes, accurate and automatic recognition of human activities has become one of the key challenges in the fields of artificial intelligence and the Internet of Things. This technology has vital applications in areas such
Ronak Fatahi, Fatemeh Sadat Lesani
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
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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
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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
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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
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Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation [PDF]
, 2006 Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech ...
Lukowicz, Paul +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
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