Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Photoplethysmography in wearable devices: a comprehensive review of technological advances, current challenges, and future directions
Photoplethysmography (PPG) is an affordable and straightforward optical technique used to
detect changes in blood volume within tissue microvascular beds. PPG technology has …
detect changes in blood volume within tissue microvascular beds. PPG technology has …
Wearable sensor‐based human activity recognition in the smart healthcare system
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …
demands in many areas. Applications of HAR include healthcare systems to monitor …
[HTML][HTML] Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …
and other physiological parameters and is commonly implemented in wearable devices …
Physical activity recognition based on deep learning using photoplethysmography and wearable inertial sensors
Human activity recognition (HAR) extensively uses wearable inertial sensors since this data
source provides the most information for non-visual datasets' time series. HAR research has …
source provides the most information for non-visual datasets' time series. HAR research has …
PPGface: Like what you are watching? Earphones can" feel" your facial expressions
Recognition of facial expressions has been widely explored to represent people's emotional
states. Existing facial expression recognition systems primarily rely on external cameras …
states. Existing facial expression recognition systems primarily rely on external cameras …
Cnn-based deep learning network for human activity recognition during physical exercise from accelerometer and photoplethysmographic sensors
Wearable device advances such as electrocardiography (ECG), surface electromyography
(sEMG), electroencephalography (EEG), photoplethysmography (PPG), and inertial data …
(sEMG), electroencephalography (EEG), photoplethysmography (PPG), and inertial data …
Multimodal fusion framework based on statistical attention and contrastive attention for sign language recognition
J Zhang, Q Wang, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sign language recognition (SLR) enables hearing-impaired people to better communicate
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …
Federated learning via augmented knowledge distillation for heterogenous deep human activity recognition systems
Deep learning-based Human Activity Recognition (HAR) systems received a lot of interest
for health monitoring and activity tracking on wearable devices. The availability of large and …
for health monitoring and activity tracking on wearable devices. The availability of large and …
Human activity recognition algorithm with physiological and inertial signals fusion: Photoplethysmography, electrodermal activity, and accelerometry
Inertial signals are the most widely used signals in human activity recognition (HAR)
applications, and extensive research has been performed on develo** HAR classifiers …
applications, and extensive research has been performed on develo** HAR classifiers …
Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation
Non-invasive blood glucose estimation is an extensively researched area since current gold-
standard invasive glucose monitoring methods present numerous inconveniences and …
standard invasive glucose monitoring methods present numerous inconveniences and …