Results 21 to 30 of about 902,851 (265)
Entropy, 2022 Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
doaj +1 more source
CoRR, 2019 To coordinate with other systems, agents must be able to determine what the systems are currently doing and predict what they will be doing in the future---plan and goal recognition. There are many methods for plan and goal recognition, but they assume a passive observer that continually monitors the target system. Real-world domains, where information
Christopher Amato, Andrea Baisero
openaire +2 more sources
Parameterized Modeling and Recognition of Activities [PDF]
Computer Vision and Image Understanding, 1999 In this paper we consider a class of human activities?atomic activities?which can be represented as a set of measurements over a finite temporal window (e.g., the motion of human body parts during a walking cycle) and which has a relatively small space of variations in performance.
Yaser Yacoob, Michael J. Black
openaire +1 more source
Human Activity Recognition by Sequences of Skeleton Features
Sensors, 2022 In recent years, much effort has been devoted to the development of applications capable of detecting different types of human activity. In this field, fall detection is particularly relevant, especially for the elderly.
Heilym Ramirez +4 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
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
doaj +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
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
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