Results 21 to 30 of about 2,923,075 (185)
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
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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
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EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition
, 2020 Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity recognition based on the recently proposed feature fusion architecture named ...
Abadi Martín +3 more
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Boosted Multiple Kernel Learning for First-Person Activity Recognition [PDF]
, 2017 Activity recognition from first-person (ego-centric) videos has recently gained attention due to the increasing ubiquity of the wearable cameras. There has been a surge of efforts adapting existing feature descriptors and designing new descriptors for ...
Arabaci, Mehmet Ali +3 more
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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
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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
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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
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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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Interactive singulation of objects from a pile [PDF]
, 2012 —Interaction with unstructured groups of objects allows a robot to discover and manipulate novel items in cluttered environments. We present a framework for interactive singulation of individual items from a pile.
Dieter Fox +2 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
doaj +1 more source