Mar 3, 2020 · Abstract: Device-free activity recognition (DFAR) is an emerging technique which could infer human activities by analyzing his/her influence ...

In their proposed cross-scenario device-free HAR framework based on radar, Wang et al. [23] developed two strategies called maximum-minimum adversarial approach ...

Abstract—Device-free activity recognition (DFAR) is an emerg- ing technique which could infer human activities by analyzing his/her influence on surrounding ...

A new deep-learning activity recognition model based on an adversarial network ... Cross-Scenario Device-Free Activity Recognition Based on Deep Adversarial ...

Device-free activity recognition plays a crucial role in smart building, security, and human–computer interaction, which shows its strength in its ...

Empowered by propagation models and deep learning methods, many challenging applications are realized such as. WiFi-based human activity recognition and gesture ...

Motivated by the excellent ability of generative adversarial network in synthesizing samples, in this paper, we explore and exploit the idea of leveraging it to ...

A novel coherence histogram is presented, which leverages the spatial structural characteristics to better characterize the distribution of the wireless ...

Nov 25, 2021 · In order to overcome the limitations of device-based sensing, device-free sensing, such as visual-based sensing (cameras), has been considered.

Aug 18, 2022 · A novel human activity sensing method based on Deep Complex Network-Transfer Learning (DCN-TL) is proposed. The model is trained with sufficient ...