6G opportunities arising from internet of things use cases: a review paper
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 …
the world have started to explore the best solutions for the challenges that the previous …
RETRACTED (Di Tarik): Dampak Kecerdasan Buatan Bagi Pendidikan
Kecerdasan buatan adalah suatu sistem yang dikembangkan dan mampu berinovasi dalam
bidang studi yang dimodelkan baik pada mesin maupun komputer yang dapat memiliki …
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
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 …
alternatives to existing wearable vital signs sensors. Unfortunately, most of these designs …
Ubiquitous acoustic sensing on commodity iot devices: A survey
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 …
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
Crucial for healthcare and biomedical applications, respiration monitoring often employs
wearable sensors in practice, causing inconvenience due to their direct contact with human …
wearable sensors in practice, causing inconvenience due to their direct contact with human …
Feddl: Federated learning via dynamic layer sharing for human activity recognition
Deep learning has been increasingly applied to improve human activity recognition (HAR)
accuracy and reduce the human efforts of handcrafted feature extractions. Federated …
accuracy and reduce the human efforts of handcrafted feature extractions. Federated …
Onefi: One-shot recognition for unseen gesture via cots wifi
WiFi-based Human Gesture Recognition (HGR) becomes increasingly promising for device-
free human-computer interaction. However, existing WiFi-based approaches have not been …
free human-computer interaction. However, existing WiFi-based approaches have not been …
Mobi2Sense: empowering wireless sensing with mobility
Besides the conventional communication function, wireless signals are actively exploited for
sensing purposes recently. However, a missing component of existing wireless sensing is …
sensing purposes recently. However, a missing component of existing wireless sensing is …
Towards domain-independent and real-time gesture recognition using mmwave signal
Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …
applications including smart home and in-car interfaces. While existing works achieve …
Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving
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 …
autonomous driving (AD), and these sensors complement each other in modalities. While …