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A survey on wearable human activity recognition: innovative pipeline development for enhanced research and practice
Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
Smart pallets: Towards event detection using imus
This article presents a toolchain for event detection of pallets using IMUs and a novel data
set called SPARL. Based on a logistical use case, two sensors are benchmarked in well …
set called SPARL. Based on a logistical use case, two sensors are benchmarked in well …
Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes
Neural networks trained on human motion data have various industrial and daily living
applications, such as activity recognition, gesture recognition, and gait-based biometrics …
applications, such as activity recognition, gesture recognition, and gait-based biometrics …
Augmentation of Human Activity Data: Convert, Generate, Transform
Data-driven neural network models trained on human motion data facilitate human activity
recognition and identity verification applications. However, large annotated and processed …
recognition and identity verification applications. However, large annotated and processed …
Data-driven, sensor-based taxonomy for environmental life cycle assessment of pallets
Pallets are one of the most important load carriers for international supply chains. Yet,
continuously tracking activities such as Driving, Lifting or Standing along their life cycle is …
continuously tracking activities such as Driving, Lifting or Standing along their life cycle is …