Results 21 to 30 of about 15,643,473 (301)
Lightweight human activity recognition learning model
工程科学学报, 2022 In the past few decades, smartphone-based human activity recognition research has played an important role in many fields, including smart buildings, healthcare, and the military.
Jing NAN +3 more
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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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RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA
International Journal of Advanced Studies, 2022 The paper considers the problem solution of classifying the type of physical activity of a person according to visual data. The authors propose using of deep neural networks to determine the type of activity.
Anna V. Pyataeva +3 more
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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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Time Analysis in Human Activity Recognition
Neural Processing Letters, 2021 Continuous human activity recognition from inertial signals is performed by splitting these temporal signals into time windows and identifying the activity in each window. Defining the appropriate window duration has been the target of several previous works.
Gil Martín, Manuel +3 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
openaire +3 more sources
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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Human physical activity recognition system [PDF]
, 2022 Human activity recognition (HAR) is a technique that somehow senses the human activities, analyzes the relevant information, and identifies the corresponding behaviors mode.
Zhao, Di, Tang, Yi
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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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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
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