Towards environment independent device free human activity recognition

W Jiang, C Miao, F Ma, S Yao, Y Wang… - Proceedings of the 24th …, 2018 - dl.acm.org
Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

DeepMV: Multi-view deep learning for device-free human activity recognition

H Xue, W Jiang, C Miao, F Ma, S Wang… - Proceedings of the …, 2020 - dl.acm.org
Recently, significant efforts are made to explore device-free human activity recognition
techniques that utilize the information collected by existing indoor wireless infrastructures …

Aroma: A deep multi-task learning based simple and complex human activity recognition method using wearable sensors

L Peng, L Chen, Z Ye, Y Zhang - Proceedings of the ACM on Interactive …, 2018 - dl.acm.org
Human activity recognition (HAR) is a promising research issue in ubiquitous and wearable
computing. However, there are some problems existing in traditional methods: 1) They treat …

Deep human activity recognition with localisation of wearable sensors

IA Lawal, S Bano - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic recognition of human activities using wearable sensors remains a challenging
problem due to high variability in inter-person gait and movements. Moreover, finding the …

WiFi and vision multimodal learning for accurate and robust device-free human activity recognition

H Zou, J Yang, H Prasanna Das, H Liu… - Proceedings of the …, 2019 - openaccess.thecvf.com
Human activity recognition plays an indispensable role in a myriad of emerging applications
in context-aware services. Accurate activity recognition systems usually require the user to …

Wearable computing for Internet of Things: A discriminant approach for human activity recognition

W Lu, F Fan, J Chu, P Jing… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …

A review and categorization of techniques on device-free human activity recognition

Z Hussain, QZ Sheng, WE Zhang - Journal of Network and Computer …, 2020 - Elsevier
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Unsupervised human activity representation learning with multi-task deep clustering

H Ma, Z Zhang, W Li, S Lu - Proceedings of the ACM on Interactive …, 2021 - dl.acm.org
Human activity recognition (HAR) based on sensing data from wearable and mobile devices
has become an active research area in ubiquitous computing, and it envisions a wide range …

Wi-chase: A WiFi based human activity recognition system for sensorless environments

S Arshad, C Feng, Y Liu, Y Hu, R Yu… - 2017 IEEE 18th …, 2017 - ieeexplore.ieee.org
An extensive set of research efforts have explored Channel State Information for human
activity detection. By extracting CSI from a sequence of packets, one can statistically analyze …

Device-free single-user activity recognition using diversified deep ensemble learning

W Cui, B Li, L Zhang, Z Chen - Applied Soft Computing, 2021 - Elsevier
WiFi-based human activity recognition (HAR) aims to recognize human activities in an off-
the-shelf manner that only relies on the commercial Wi-Fi devices already installed in …