A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
A survey on human behavior recognition using channel state information
Z Wang, K Jiang, Y Hou, W Dou, C Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …
achieved significant progress in the field of ubiquitous computing. Among various …
Towards a diffraction-based sensing approach on human activity recognition
In recent years, wireless sensing has been exploited as a promising research direction for
contactless human activity recognition. However, one major issue hindering the real …
contactless human activity recognition. However, one major issue hindering the real …
Hierarchical clustering-based personalized federated learning for robust and fair human activity recognition
Currently, federated learning (FL) can enable users to collaboratively train a global model
while protecting the privacy of user data, which has been applied to human activity …
while protecting the privacy of user data, which has been applied to human activity …
Can we obtain fine-grained heartbeat waveform via contact-free rf-sensing?
Contact-free vital-signs monitoring enabled by radio frequency (RF) sensing is gaining
increasing attention, thanks to its non-intrusiveness, noise-resistance, and low cost …
increasing attention, thanks to its non-intrusiveness, noise-resistance, and low cost …
mmStress: Distilling human stress from daily activities via contact-less millimeter-wave sensing
K Liang, A Zhou, Z Zhang, H Zhou, H Ma… - Proceedings of the ACM …, 2023 - dl.acm.org
Long-term exposure to stress hurts human's mental and even physical health, and stress
monitoring is of increasing significance in the prevention, diagnosis, and management of …
monitoring is of increasing significance in the prevention, diagnosis, and management of …
Accurate respiration monitoring for mobile users with commercial RFID devices
Vital signs (eg, respiration rate or heartbeat rate) sensing is of great importance to
implement pervasive in-home healthcare. Traditional vital signs monitoring approaches …
implement pervasive in-home healthcare. Traditional vital signs monitoring approaches …
Device-free multi-person respiration monitoring using WiFi
Device-free respiration wireless monitoring is an emerging vital sign monitoring technique
which could estimate respiration rate in a contactless manner by analyzing the cyclical …
which could estimate respiration rate in a contactless manner by analyzing the cyclical …
Device-free human gesture recognition with generative adversarial networks
Recent advances in device-free wireless sensing have created the emerging technique of
device-free human gesture recognition (DFHGR), which could recognize human gestures by …
device-free human gesture recognition (DFHGR), which could recognize human gestures by …
MultiResp: Robust Respiration Monitoring for Multiple Users Using Acoustic Signal
T Wang, Z Li, X Liu, T Gu, HH Yan, J Lv… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In recent years, we have seen efforts made to monitor respiration for multiple users. Existing
approaches capture chest movement relying on signals directly reflected from chest or …
approaches capture chest movement relying on signals directly reflected from chest or …