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 Systematic Review of Human Activity Recognition Based On Mobile Devices: Overview, Progress and Trends
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
Push the limit of acoustic gesture recognition
With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …
Your microphone array retains your identity: A robust voice liveness detection system for smart speakers
Though playing an essential role in smart home systems, smart speakers are vulnerable to
voice spoofing attacks. Passive liveness detection, which utilizes only the collected audio …
voice spoofing attacks. Passive liveness detection, which utilizes only the collected audio …
SpiroSonic: monitoring human lung function via acoustic sensing on commodity smartphones
Respiratory diseases have been a significant public health challenge. Efficient disease
evaluation and monitoring call for daily spirometry tests, as an effective way of pulmonary …
evaluation and monitoring call for daily spirometry tests, as an effective way of pulmonary …
FingerDraw: Sub-wavelength level finger motion tracking with WiFi signals
This paper explores the possibility of tracking finger drawings in the air leveraging WiFi
signals from commodity devices. Prior solutions typically require user to hold a wireless …
signals from commodity devices. Prior solutions typically require user to hold a wireless …
Ultragesture: Fine-grained gesture sensing and recognition
With the rising of AR/VR technology and miniaturization of mobile devices, gesture
recognition is becoming increasingly popular in the research area of human-computer …
recognition is becoming increasingly popular in the research area of human-computer …
RF-based human activity recognition using signal adapted convolutional neural network
Human activity recognition (HAR) plays a critical role in a wide range of real-world
applications, and it is traditionally achieved via wearable sensing. Recently, to avoid the …
applications, and it is traditionally achieved via wearable sensing. Recently, to avoid the …
Millisonic: Pushing the limits of acoustic motion tracking
A Wang, S Gollakota - Proceedings of the 2019 CHI conference on …, 2019 - dl.acm.org
Recent years have seen interest in device tracking and localization using acoustic signals.
State-of-the-art acoustic motion tracking systems however do not achieve millimeter …
State-of-the-art acoustic motion tracking systems however do not achieve millimeter …
We hear your pace: Passive acoustic localization of multiple walking persons
Indoor localization is crucial to enable context-aware applications, but existing solutions
mostly require a user to carry a device, so as to actively sense location-discriminating …
mostly require a user to carry a device, so as to actively sense location-discriminating …