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Dec 6, 2018 · We present a system for concurrent activity recognition. To extract features associated with different activities, we propose a feature-to-activity attention.
To make the concurrent activity prediction aware of the potential associations between activities, we propose self-attention with an association mask. Our.
We present a system for concurrent activity recognition. To extract features associated with different activities, we propose a feature-to-activity ...
Our system is the first to address the concurrent activity recognition with multisensory data using a single model, which is scalable, simple to train and easy ...
Tri-axial Self-Attention for Concurrent Activity Recognition · pdf icon · hmtl ... Concurrent Activity Recognition with Multimodal CNN-LSTM Structure · pdf ...
Tri-axial Self-Attention for Concurrent Activity Recognition ... We present a system for concurrent activity recognition. Action Detection · Activity Detection +4.
Figure 4: The association mask for volleyball dataset. Tri-axial Self-Attention for Concurrent Activity Recognition. Preprint. Full-text available. Dec 2018.
In this paper, we propose a deep learning model, WISNet, a custom 1D-CNN approach to recognize six complex human activities.
The proposed method uses only a three-axis accelerometer, gyroscope, and linear acceleration to provide reliable recognition performance, where no other sensors ...
Missing: Concurrent | Show results with:Concurrent
Mar 28, 2024 · Wearable sensors are widely used in medical applications and human–computer interaction because of their portability and powerful privacy.
Missing: Concurrent | Show results with:Concurrent