Deepsense: Device-free human activity recognition via autoencoder long-term recurrent convolutional network

H Zou, Y Zhou, J Yang, H Jiang, L Xie… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
In the era of Internet of Things (IoT), human activity recognition is becoming the vital
underpinning for a myriad of emerging applications in smart home and smart buildings …

Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learning

H Zou, Y Zhou, J Yang, CJ Spanos - Energy and Buildings, 2018 - Elsevier
With the unprecedented advancement of Internet of Things (IoT), automatic occupant activity
recognition is becoming realizable for a myriad of emerging applications in smart buildings …

Human activity recognition using deep learning networks with enhanced channel state information

Z Shi, JA Zhang, R Xu, G Fang - 2018 IEEE Globecom …, 2018 - ieeexplore.ieee.org
Channel State Information (CSI) is widely used for device free human activity recognition.
Feature extraction remains as one of the most challenging tasks in a dynamic and complex …

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 …

Imgfi: A high accuracy and lightweight human activity recognition framework using csi image

C Zhang, W Jiao - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Although human activity recognition (HAR) based on WiFi channel state information (CSI)
has been widely studied, as the CSI signal is susceptible to the external environment, a …

A CNN-LSTM approach to human activity recognition

R Mutegeki, DS Han - 2020 international conference on artificial …, 2020 - ieeexplore.ieee.org
To understand human behavior and intrinsically anticipate human intentions, research into
human activity recognition HAR) using sensors in wearable and handheld devices has …

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 …

Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors

E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …

LSTM-CNN architecture for human activity recognition

K Xia, J Huang, H Wang - IEEE Access, 2020 - ieeexplore.ieee.org
In the past years, traditional pattern recognition methods have made great progress.
However, these methods rely heavily on manual feature extraction, which may hinder the …

Deep neural networks for activity recognition with multi-sensor data in a smart home

J Park, K Jang, SB Yang - 2018 IEEE 4th World Forum on …, 2018 - ieeexplore.ieee.org
Multi-sensor based human activity recognition is one of the challenges in the ambient
intelligent environments such as smart home and smart city. Ordinary people in their daily …