A comprehensive review of automated data annotation techniques in human activity recognition
Human Activity Recognition (HAR) has become one of the leading research topics of the last
decade. As sensing technologies have matured and their economic costs have declined, a …
decade. As sensing technologies have matured and their economic costs have declined, a …
Leveraging sound and wrist motion to detect activities of daily living with commodity smartwatches
Automatically recognizing a broad spectrum of human activities is key to realizing many
compelling applications in health, personal assistance, human-computer interaction and …
compelling applications in health, personal assistance, human-computer interaction and …
HAR-GCNN: Deep graph CNNs for human activity recognition from highly unlabeled mobile sensor data
The problem of human activity recognition from mobile sensor data applies to multiple
domains, such as health monitoring, personal fitness, daily life logging, and senior care. A …
domains, such as health monitoring, personal fitness, daily life logging, and senior care. A …
[HTML][HTML] Occurrence of and reasons for “missing events” in mobile dietary assessments: results from three event-based ecological momentary assessment studies
K Ziesemer, LM König, CJ Boushey… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: Establishing a methodology for assessing nutritional behavior
comprehensively and accurately poses a great challenge. Mobile technologies such as …
comprehensively and accurately poses a great challenge. Mobile technologies such as …
Identifying dynamic interaction patterns in mandatory and discretionary lane changes using graph structure
A quantitative understanding of dynamic lane‐changing interaction patterns is
indispensable for improving the decision‐making of autonomous vehicles (AVs), especially …
indispensable for improving the decision‐making of autonomous vehicles (AVs), especially …
Leveraging activity recognition to enable protective behavior detection in continuous data
Protective behavior exhibited by people with chronic pain (CP) during physical activities is
very informative to understanding their physical and emotional states. Existing automatic …
very informative to understanding their physical and emotional states. Existing automatic …
The Lifespan of Human Activity Recognition Systems for Smart Homes
SK Hiremath, T Plötz - Sensors, 2023 - mdpi.com
With the growing interest in smart home environments and in providing seamless
interactions with various smart devices, robust and reliable human activity recognition (HAR) …
interactions with various smart devices, robust and reliable human activity recognition (HAR) …
Semisupervised Generative Adversarial Networks with Temporal Convolutions for Human Activity Recognition
H Zilelioglu, G Khodabandelou, A Chibani… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Many potential applications of human activity recognition (HAR) can be found in health,
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …
Multiclass autoencoder-based active learning for sensor-based human activity recognition
Leveraging the enormous amounts of real-world data collected through Internet of Things
(IoT) technologies, human activity recognition (HAR) has become a crucial component of …
(IoT) technologies, human activity recognition (HAR) has become a crucial component of …
A Bayesian approach for quantifying data scarcity when modeling human behavior via inverse reinforcement learning
Computational models that formalize complex human behaviors enable study and
understanding of such behaviors. However, collecting behavior data required to estimate the …
understanding of such behaviors. However, collecting behavior data required to estimate the …