6G opportunities arising from internet of things use cases: a review paper

B Barakat, A Taha, R Samson, A Steponenaite… - Future Internet, 2021 - mdpi.com
The race for the 6th generation of wireless networks (6G) has begun. Researchers around
the world have started to explore the best solutions for the challenges that the previous …

RETRACTED (Di Tarik): Dampak Kecerdasan Buatan Bagi Pendidikan

D Manongga, U Rahardja, I Sembiring… - ADI Bisnis Digital …, 2022 - adi-journal.org
Kecerdasan buatan adalah suatu sistem yang dikembangkan dan mampu berinovasi dalam
bidang studi yang dimodelkan baik pada mesin maupun komputer yang dapat memiliki …

MoVi-Fi: Motion-robust vital signs waveform recovery via deep interpreted RF sensing

Z Chen, T Zheng, C Cai, J Luo - Proceedings of the 27th annual …, 2021 - dl.acm.org
Vital signs are crucial indicators for human health, and researchers are studying contact-free
alternatives to existing wearable vital signs sensors. Unfortunately, most of these designs …

Ubiquitous acoustic sensing on commodity iot devices: A survey

C Cai, R Zheng, J Luo - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
With the proliferation of Internet-of-Things (IoT) devices, acoustic sensing attracts significant
attention in recent years. It exploits acoustic transceivers such as microphones and speakers …

MoRe-Fi: Motion-robust and fine-grained respiration monitoring via deep-learning UWB radar

T Zheng, Z Chen, S Zhang, C Cai, J Luo - … of the 19th ACM conference on …, 2021 - dl.acm.org
Crucial for healthcare and biomedical applications, respiration monitoring often employs
wearable sensors in practice, causing inconvenience due to their direct contact with human …

Feddl: Federated learning via dynamic layer sharing for human activity recognition

L Tu, X Ouyang, J Zhou, Y He, G **ng - … of the 19th ACM Conference on …, 2021 - dl.acm.org
Deep learning has been increasingly applied to improve human activity recognition (HAR)
accuracy and reduce the human efforts of handcrafted feature extractions. Federated …

Onefi: One-shot recognition for unseen gesture via cots wifi

R **ao, J Liu, J Han, K Ren - Proceedings of the 19th ACM Conference …, 2021 - dl.acm.org
WiFi-based Human Gesture Recognition (HGR) becomes increasingly promising for device-
free human-computer interaction. However, existing WiFi-based approaches have not been …

Mobi2Sense: empowering wireless sensing with mobility

F Zhang, J **ong, Z Chang, J Ma, D Zhang - Proceedings of the 28th …, 2022 - dl.acm.org
Besides the conventional communication function, wireless signals are actively exploited for
sensing purposes recently. However, a missing component of existing wireless sensing is …

Towards domain-independent and real-time gesture recognition using mmwave signal

Y Li, D Zhang, J Chen, J Wan, D Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …

Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving

T Zheng, A Li, Z Chen, H Wang, J Luo - Proceedings of the 29th Annual …, 2023 - dl.acm.org
Object detection with on-board sensors (eg, lidar, radar, and camera) is crucial to
autonomous driving (AD), and these sensors complement each other in modalities. While …