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Sensors, Volume 20, Issue 12

June-2 2020 - 275 articles

Cover Story: Smart sensors and smartphones are becoming increasingly prevalent. These devices are capable of collecting large amounts of sensor data, which in turn can be used to capture phenomena of common interest with mobile crowdsensing techniques. Valuable insights can be gained if the collected data are additionally related to the time and place of the measurements. In this work, an architectural design was conceived with the goal to manage geospatial data in a flexible, efficient, and scalable manner. Practically, the proposed approach can be used to provide users with an interactive map of environmental noise. Technically, the approach combines cloud-native applications with Big Data and stream processing concepts. In general, the presented architectural design shall serve as a foundation to implement practical and scalable crowdsensing platforms for various healthcare scenarios. View this paper
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Articles (275)

  • Article
  • Open Access
6 Citations
6,581 Views
26 Pages

26 June 2020

Scanning electron microscopes (SEMs) are versatile imaging devices for the micro- and nanoscale that find application in various disciplines such as the characterization of biological, mineral or mechanical specimen. Even though the specimen’s...

  • Article
  • Open Access
26 Citations
6,405 Views
17 Pages

Speech Quality Feature Analysis for Classification of Depression and Dementia Patients

  • Brian Sumali,
  • Yasue Mitsukura,
  • Kuo-ching Liang,
  • Michitaka Yoshimura,
  • Momoko Kitazawa,
  • Akihiro Takamiya,
  • Takanori Fujita,
  • Masaru Mimura and
  • Taishiro Kishimoto

26 June 2020

Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brain diseases. However, major depressive disorder may also cause temporary deterioration of one’s cognition known as pseudodementia. Differentiatin...

  • Article
  • Open Access
49 Citations
6,869 Views
16 Pages

Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach

  • Masoud Abdollahi,
  • Sajad Ashouri,
  • Mohsen Abedi,
  • Nasibeh Azadeh-Fard,
  • Mohamad Parnianpour,
  • Kinda Khalaf and
  • Ehsan Rashedi

26 June 2020

Nonspecific low back pain (NSLBP) constitutes a critical health challenge that impacts millions of people worldwide with devastating health and socioeconomic consequences. In today’s clinical settings, practitioners continue to follow conventio...

  • Article
  • Open Access
44 Citations
6,692 Views
15 Pages

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation

  • Hélène De Cannière,
  • Federico Corradi,
  • Christophe J. P. Smeets,
  • Melanie Schoutteten,
  • Carolina Varon,
  • Chris Van Hoof,
  • Sabine Van Huffel,
  • Willemijn Groenendaal and
  • Pieter Vandervoort

26 June 2020

Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity. This makes remote monitoring and ambulatory cardiac rehabilitation (CR) therapy challenging. Current wearable multimodal devices enable remote monitoring. Machi...

  • Letter
  • Open Access
7 Citations
3,876 Views
15 Pages

Uniformity Attentive Learning-Based Siamese Network for Person Re-Identification

  • Dasol Jeong,
  • Hasil Park,
  • Joongchol Shin,
  • Donggoo Kang and
  • Joonki Paik

26 June 2020

Person re-identification (Re-ID) has a problem that makes learning difficult such as misalignment and occlusion. To solve these problems, it is important to focus on robust features in intra-class variation. Existing attention-based Re-ID methods foc...

  • Article
  • Open Access
89 Citations
8,670 Views
26 Pages

26 June 2020

The emergence of biomedical sensor devices, wireless communication, and innovation in other technologies for healthcare applications result in the evolution of a new area of research that is termed as Wireless Body Area Networks (WBANs). WBAN origina...

  • Letter
  • Open Access
31 Citations
4,316 Views
13 Pages

High-Sensitivity Goos-Hänchen Shifts Sensor Based on BlueP-TMDCs-Graphene Heterostructure

  • Lei Han,
  • Zhimin Hu,
  • Jianxing Pan,
  • Tianye Huang and
  • Dapeng Luo

26 June 2020

Surface plasmon resonance (SPR) with two-dimensional (2D) materials is proposed to enhance the sensitivity of sensors. A novel Goos–Hänchen (GH) shift sensing scheme based on blue phosphorene (BlueP)/transition metal dichalogenides (TMDCs)...

  • Article
  • Open Access
13 Citations
4,875 Views
18 Pages

C2DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation

  • Han Sun,
  • Xinyi Chen,
  • Ling Wang,
  • Dong Liang,
  • Ningzhong Liu and
  • Huiyu Zhou

26 June 2020

Deep neural networks have been successfully applied in domain adaptation which uses the labeled data of source domain to supplement useful information for target domain. Deep Adaptation Network (DAN) is one of these efficient frameworks, it utilizes...

  • Article
  • Open Access
13 Citations
4,692 Views
13 Pages

An Experimental Test Proposal to Study Human Behaviour in Fires Using Virtual Environments

  • Carlos de Lama,
  • Cristina González-Gaya and
  • Alberto Sánchez-Lite

26 June 2020

Human behavior in an emergency situation is the starting point for all evacuation planning projects. A better understanding of the decisions made by the occupants during an emergency can help to develop calculation tools that can create more efficien...

  • Letter
  • Open Access
20 Citations
5,142 Views
14 Pages

QCL-Based Dual-Comb Spectrometer for Multi-Species Measurements at High Temperatures and High Pressures

  • Guangle Zhang,
  • Raphael Horvath,
  • Dapeng Liu,
  • Markus Geiser and
  • Aamir Farooq

26 June 2020

Rapid multi-species sensing is an overarching goal in time-resolved studies of chemical kinetics. Most current laser sources cannot achieve this goal due to their narrow spectral coverage and/or slow wavelength scanning. In this work, a novel mid-IR...

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Sensors - ISSN 1424-8220