Results 11 to 20 of about 2,910,569 (277)
Multimodal Sensor Data Fusion for Activity Recognition Using Filtered Classifier
Activity recognition (AR) is a subtask in pervasive computing and context-aware systems, which presents the physical state of human in real-time. These systems offer a new dimension to the widely spread applications by fusing recognized activities ...
Muhammad Asif Razzaq +3 more
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Participatory exposure research, which tracks behaviour and assesses exposure to stressors like air pollution, traditionally relies on time-activity diaries. This study introduces a novel approach, employing machine learning (ML) to empower laypersons in
Rok Novak +5 more
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Detection and classification of acute psychological stress (APS) and physical activity (PA) in daily lives of people with chronic diseases can provide precision medicine for the treatment of chronic conditions such as diabetes.
Mohammad Reza Askari +4 more
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Activity and Fall detection have been a topic of keen interest in the field of ambient assisted living system research. Such systems make use of different sensing mechanisms to monitor human motion and aim to ascertain the activity being performed for ...
Abbas Shah Syed +3 more
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Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition
Human activity recognition (HAR) using wearable sensors is an increasingly active research topic in machine learning, aided in part by the ready availability of detailed motion capture data from smartphones, fitness trackers, and smartwatches.
Fayez Alharbi +2 more
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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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Privacy‐preserving remote sensing images recognition based on limited visual cryptography
With the arrival of new data acquisition platforms derived from the Internet of Things (IoT), this paper goes beyond the understanding of traditional remote sensing technologies.
Denghui Zhang +4 more
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Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
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Human Activity Recognition by Sequences of Skeleton Features
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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A Transformer-Based Hybrid Model for Human Activity Recognition Using Smart Home Environmental Sensor Data [PDF]
With 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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