In this paper we introduce a novel approach to face the problems of view-invariance and user personalization in the context of gesture interaction systems. More ...
We propose a novel gesture recognition method which takes advantage of the recent Self-. Similarity Matrix (SSM) descriptors [2] to compute features which are ...
A novel approach to face the problems of view-invariance and user personalization in the context of gesture interaction systems by proposing a domain ...
Exploiting transfer learning for personalized view invariant gesture recognition ... Open-vocabulary Object Detection · Model Pruning · Enhanced Object ...
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Multiple Tasks are Better than One: Multi-task Learning and Feature Selection for Head Pose Estimation, Action Recognition and Event Detection.
Nov 21, 2024 · To address these issues, this paper investigates the approach of fine-tuning a global model using user-specific data locally for personalizing ...
Exploiting transfer learning for personalized view invariant gesture recognition,. IEEE International Conference on Acoustics, Speech and Signal Processing ...
In this work, we employed deep transfer learning to adapt the mismatch between source and target domains for robust hand gesture recognition.
Missing: Exploiting personalized
Exploiting transfer learning for personalized view invariant gesture recognition ... A method for learning, tracking, and recognizing human gestures using a view ...
Dec 12, 2022 · In this paper, we evaluate the effectiveness of a low-cost dataglove for classifying hand gestures in the light of deep learning.
Missing: personalized | Show results with:personalized