An efficient optimized feature selection with machine learning approach for ECG biometric recognition

KK Patro, A Jaya Prakash… - IETE Journal of …, 2022 - Taylor & Francis
In machine learning, an efficient classifier model design is mostly based on effective feature
extraction and appropriate feature selection. This work mainly focused on different optimized …

Towards low-cost sign language gesture recognition leveraging wearables

T Zhao, J Liu, Y Wang, H Liu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Different from traditional gestures, sign language gestures involve a lot of finger-level
gestures without wrist or arm movements. They are hard to detect using existing motion …

PPG-based finger-level gesture recognition leveraging wearables

T Zhao, J Liu, Y Wang, H Liu… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
This paper subverts the traditional understanding of Photoplethysmography (PPG) and
opens up a new direction of the utility of PPG in commodity wearable devices, especially in …

Fine-grained Gesture Recognition and Sign Language Interpretation via Photoplethysmography (PPG) on Smartwatches

X Guo, Y Wang, J Cheng, Y Chen - Mobile Technologies for Smart …, 2024 - Springer
In addition to the application of inertial sensors in wearable devices, various other sensors
have been utilized to broaden the scope of sensing applications. This chapter challenges …

[图书][B] Secure Personal Healthcare Using Fine-Grained PPG-Based Sensing and Deep Learning

T Zhao - 2022 - search.proquest.com
Personal healthcare has become an emerging research trend in the past few years due to
the shortage of public healthcare resources. Smart mobile devices have the potential to …

[PDF][PDF] Input significance analysis: feature selection through synaptic weights manipulation for EFuNNs classifier

R Hassan, IFT Al-Shaikhli, S Ahmad - Journal of Fundamental and Applied …, 2017 - ajol.info
This work is interested in ISA methods that can manipulate synaptic weights namely
Connection Weights (CW) and Garson's Algorithm (GA) and the classifier selected is …