With the advances of sensing technology and deep learning, deep learning based human activity recognition from sensor signal data has been actively studied. While deep neural networks can ...

In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected. In this work, we ...

This paper presents a pattern-recognition algorithm based on fragmentation and concatenation. The main mechanism was loosely inspired by Jeff Hawkins' Hierarchical Temporal Memory (HTM) model of the ...

Multimodal fusion frameworks for Human Action Recognition (HAR) using depth and inertial sensor data have been proposed over the years. In most of the existing works, fusion is performed at a single ...

Hand sign recognition is a vital technology in the human-computer interaction, enabling individuals to communicate with machines naturally and effectively. An innovative approach for real-time hand ...

In order to achieve fully cooperative driving between the driver and vehicle, driving behavior pattern recognition is important. This paper presents a novel pattern recognition algorithm which can ...

The need for advanced Speech Emotion Recognition (SER) systems has grown with the development of human-machine interaction technologies. This paper introduces a CNN model specifically designed to ...

Micro-expression is a kind of short-term and imperceptible facial expression. In this paper, we propose a method of micro-expression recognition using SEnet and three-stream 3D CNN (SETFNet). Three ...