Neural-network based structural health monitoring with wireless sensor networks

X **e, J Guo, H Zhang, T Jiang, R Bie… - … Conference on Natural …, 2013 - ieeexplore.ieee.org
Wireless sensor networks, which enjoy increasing interests in the field of personal and
ubiquitous computing, have recently been regarded as a promising candidate for structural …

Robust communication with IoT devices using wearable brain machine interfaces

M Muztoba, U Gupta, T Mustofa… - 2015 IEEE/ACM …, 2015 - ieeexplore.ieee.org
Proliferation of internet-of-things (IoT) will lead to scenarios where humans will interact with
and control a variety of networked devices including sensors and actuators. Wearable brain …

[PDF][PDF] 3D-Trail-Making Test: A Touch-Tablet Cognitive Test to Support Intelligent Behavioral Recognition.

R Lara-Garduno, T Igarashi, T Hammond - Graphics Interface, 2019 - academia.edu
ABSTRACT The decades-old Trail-Making Test has established itself as an effective and
versatile cognitive testing tool. However, its reliance on a paper-and-pencil method of …

Visual fatigue measurement model in stereoscopy based on Bayesian network

Z Yuan, JH Kim, JD Cho - Optical Engineering, 2013 - spiedigitallibrary.org
A stereoscopic visual fatigue measurement model based on Bayesian networks (BNs) is
presented. Our approach focuses on the interdependencies between factors, such as …

MindLogger: a brain-computer interface for word building using brainwaves

D Najeeb, A Grass, G Garcia, R Debbiny… - Proceedings of the 1st …, 2014 - dl.acm.org
In this paper, we collect electrical signals emitted from the brain during its normal function,
specifically from a single electrode placed over the frontal lobe of the brain, to provide an …

Smart and wearable sensors used in numerous modern applications and their significance

N Hema, S Dawn - Advances in Modern Sensors: Physics …, 2020 - iopscience.iop.org
This chapter introduces what smart sensors are, and what properties they should possess to
be called smart devices. Smart systems are built from smart sensors. We detail how sensors …

[PDF][PDF] Mobile Technology for Eye Health Monitoring

D Najeeb - 2015 - scholarworks.calstate.edu
The past few years have witnessed the dramatic advancements of mobile and wearable
technologies. The proliferation of handheld devices has empowered their wide spread use …

Identifying Pairs in Simulated Bio-Medical Time-Series

U Kartoun - arxiv preprint arxiv:1306.0541, 2013 - arxiv.org
The paper presents a time-series-based classification approach to identify similarities in
pairs of simulated human-generated patterns. An example for a pattern is a time-series …

[CITA][C] Machine Learning and Digital Sketch Recognition Methods to Support Neuropsychological Diagnosis and Identification of Cognitive Decline

RA Lara Garduno - 2021

[CITA][C] Emerging technologies for patient-specific healthcare

M Akay, TP Exarchos, DI Fotiadis… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Emerging Technologies for Patient-Specific Healthcare Page 1 IEEE TRANSACTIONS ON
INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 16, NO. 2, MARCH 2012 185 …