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Review of constraints on vision‐based gesture recognition for human–computer interaction
The ability of computers to recognise hand gestures visually is essential for progress in
human–computer interaction. Gesture recognition has applications ranging from sign …
human–computer interaction. Gesture recognition has applications ranging from sign …
Methods, databases and recent advancement of vision-based hand gesture recognition for hci systems: A review
Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …
with assorted applications in the human–computer communication (HCI) community. The …
An interpretable dynamic inference system based on fuzzy broad learning
Fuzzy broad learning system (FBLS) is a fuzzy neural model proposed in recent years,
which combines the efficient performance of broad learning and the interpretability of fuzzy …
which combines the efficient performance of broad learning and the interpretability of fuzzy …
Deep Takagi–Sugeno–Kang fuzzy classifier with shared linguistic fuzzy rules
In many practical applications of classifiers, not only high accuracy but also high
interpretability is required. Among a wide variety of existing classifiers, Takagi–Sugeno …
interpretability is required. Among a wide variety of existing classifiers, Takagi–Sugeno …
A multiple-kernel fuzzy c-means algorithm for image segmentation
In this paper, a generalized multiple-kernel fuzzy C-means (FCM)(MKFCM) methodology is
introduced as a framework for image-segmentation problems. In the framework, aside from …
introduced as a framework for image-segmentation problems. In the framework, aside from …
Knowledge-leverage-based TSK fuzzy system modeling
Classical fuzzy system modeling methods consider only the current scene where the training
data are assumed to be fully collectable. However, if the data available from the current …
data are assumed to be fully collectable. However, if the data available from the current …
On the accuracy–complexity tradeoff of fuzzy broad learning system
The fuzzy broad learning system (FBLS) is a recently proposed neuro-fuzzy model that
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …
shares the similar structure of a broad learning system (BLS). It shows high accuracy in both …
Multitask TSK fuzzy system modeling by mining intertask common hidden structure
The classical fuzzy system modeling methods implicitly assume data generated from a
single task, which is essentially not in accordance with many practical scenarios where data …
single task, which is essentially not in accordance with many practical scenarios where data …
A comprehensive adaptive interpretable takagi-sugeuo-kang fuzzy classifier for fatigue driving detection
Electroencephalogram (EEG) signals, as a reliable biological indicator, have been widely
used in fatigue driving detection due to their capacity to reflect a driver's cognitive and neural …
used in fatigue driving detection due to their capacity to reflect a driver's cognitive and neural …
Broad learning based dynamic fuzzy inference system with adaptive structure and interpretable fuzzy rules
This article investigates the feasibility of applying the broad learning system (BLS) to realize
a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely a broad learning based …
a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely a broad learning based …