Results 21 to 30 of about 2,293,223 (269)
Human Activity Recognition With Commercial WiFi Signals
IEEE Access, 2022 The next generation of mobile communication aims to extend the capabilities of traditional communication by reshaping the environment with wireless signals.
Chen Tian +6 more
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On attention models for human activity recognition [PDF]
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018 Most approaches that model time-series data in human activity recognition based on body-worn sensing (HAR) use a fixed size temporal context to represent different activities. This might, however, not be apt for sets of activities with individ- ually varying durations.
Vishvak S. Murahari, Thomas Plötz
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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
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Daily Human Activity Recognition Using Non-Intrusive Sensors
Sensors, 2021 In recent years, Artificial Intelligence Technologies (AIT) have been developed to improve the quality of life of the elderly and their safety in the home.
Raúl Gómez Ramos +3 more
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTThis project presents an intelligent and automated safety monitoring system that integrates Human Action Recognition and Facial Expression Recognition to detect critical emergency situations such as falls and drowsiness in real time. The system continuously analyzes video or motion-based input data to understand both the physical activities and ...
Gabriele Schabacher, Sophie Spallinger
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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
core +1 more source
Fast human activity recognition based on structure and motion [PDF]
, 2011 This is the post-print version of the final paper published in Pattern Recognition Letters. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural ...
Boulgouris, NV, Hu, J
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Human activity recognition making use of long short-term memory techniques [PDF]
, 2019 The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
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Out-of-distribution in Human Activity Recognition
2022 Swedish Artificial Intelligence Society Workshop (SAIS), 2022 With the growing interest of the research community in making deep learning (DL) robust and reliable, detecting out-of-distribution (OOD) data has become critical. Detecting OOD inputs during test/prediction allows the model to account for discriminative features unknown to the model.
Roy,Debaditya +2 more
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