Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
FaceBit: Smart face masks platform
The COVID-19 pandemic has dramatically increased the use of face masks across the
world. Aside from physical distancing, they are among the most effective protection for …
world. Aside from physical distancing, they are among the most effective protection for …
IDIoT: Multimodal framework for ubiquitous identification and assignment of human-carried wearable devices
IoT (Internet of Things) devices, such as network-enabled wearables, are carried by
increasingly more people throughout daily life. Information from multiple devices can be …
increasingly more people throughout daily life. Information from multiple devices can be …
Deep generative cross-modal on-body accelerometer data synthesis from videos
Human activity recognition (HAR) based on wearable sensors has brought tremendous
benefit to several industries ranging from healthcare to entertainment. However, to build …
benefit to several industries ranging from healthcare to entertainment. However, to build …
BMAR: barometric and motion-based alignment and refinement for offline signal synchronization across devices
A requirement of cross-modal signal processing is accurate signal alignment. Though
simple on a single device, accurate signal synchronization becomes challenging as soon as …
simple on a single device, accurate signal synchronization becomes challenging as soon as …
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
Traditional human-in-the-loop-based annotation for time-series data like inertial data often
requires access to alternate modalities like video or audio from the environment. These …
requires access to alternate modalities like video or audio from the environment. These …
Association of number of bites and eating speed with energy intake: Wearable technology results under free-living conditions
Personalized weight management strategies are gaining interest. However, knowledge is
limited regarding eating habits and association with energy intake, and current technologies …
limited regarding eating habits and association with energy intake, and current technologies …
Time synchronization algorithm for the skiing monitoring system
Y Yang, R Cheng, J He, C Li, X Qiao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
A skiing monitoring system composed of multiple sensors can feedback videos, kinematic,
and physiological parameters synchronously. Also, it is a significant technology for …
and physiological parameters synchronously. Also, it is a significant technology for …
HiRA-Pro: High resolution alignment of multimodal spatio-temporal data: a process physics driven approach
We present HiRA-Pro, a novel procedure to align, at high spatio-temporal resolutions,
multimodal signals from real-world processes and systems that exhibit diverse transient …
multimodal signals from real-world processes and systems that exhibit diverse transient …
LiDAR and camera data for smart urban traffic monitoring: Challenges of automated data capturing and synchronization
Availability and range of sensors and other type of smart hardware are growing.
Implementation of such solutions is becoming a crucial part of development strategies for …
Implementation of such solutions is becoming a crucial part of development strategies for …