Results 21 to 30 of about 670,504 (156)
Two-Stage Human Activity Recognition Using 2D-ConvNet.
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector.
Kamal Kant Verma +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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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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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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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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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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International Journal of Innovative Technology and Exploring Engineering, 2020 With advancement in the field of health and medicine, new and better sensors are being developed which help monitor various aspects of an individual’s health. To provide the users with effective analysis related to their health using these sensors, an optimized and accurate solution is required.
Chetashri Bhadane +3 more
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Segmentation and recognition of continuous human activity [PDF]
Proceedings IEEE Workshop on Detection and Recognition of Events in Video, 2001 This paper presents a methodology for automatic segmentation and recognition of continuous human activity. We segment a continuous human activity into separate actions and correctly identify each action. The camera views the subject from the lateral view: there are no distinct breaks or pauses between the execution of different actions.
Anjum Ali, J. K. Aggarwal
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Sensors, 2016 Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services.
Hiram Ponce +2 more
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Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets
IEEE Access, 2022 The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors.
Minjung Lee, Seoung Bum Kim
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