Topic Review
Wearable Health Technology
The occurrence of peripheral neuropathy (PNP) is often observed in Parkinson's disease (PD) patients with a prevalence up to 55%, leading to more prominent functional deficits. Motor assessment with mobile health technologies allows high sensitivity and accuracy and is widely adopted in PD, but scarcely used for PNP assessments. This entry provides a comprehensive overview of the methodologies and the most relevant features to investigate PNP and PD motor deficits with wearables. Because of the lack of studies investigating motor impairments in this specific subset of PNP-PD patients, Pubmed, Scopus, and Web of Science electronic databases were used to summarize the state of the art on PNP motor assessment with wearable technology and compare it with the existing evidence on PD. 
  • 226
  • 26 Nov 2020
Topic Review
Vision-Based Fall Detection Systems
Vision-based fall detection systems have experienced fast development over the last years. To determine the course of its evolution and help new researchers, the main audience of this paper, a comprehensive revision of all published articles in the main scientific databases regarding this area during the last five years has been made. After a selection process, detailed in the Materials and Methods Section, eighty-one systems were thoroughly reviewed. Their characterization and classification techniques were analyzed and categorized. Their performance data were also studied, and comparisons were made to determine which classifying methods best work in this field. The evolution of artificial vision technology, very positively influenced by the incorporation of artificial neural networks, has allowed fall characterization to become more resistant to noise resultant from illumination phenomena or occlusion. The classification has also taken advantage of these networks, and the field starts using robots to make these systems mobile. However, datasets used to train them lack real-world data, raising doubts about their performances facing real elderly falls. In addition, there is no evidence of strong connections between the elderly and the communities of researchers.
  • 99
  • 17 Feb 2021
Topic Review
Variable Admittance Control for Human–Robot Interaction
Human–robot interaction (HRI) is a broad research topic, which is defined as understanding, designing, developing, and evaluating the robotic system to be used with or by humans. 
  • 68
  • 26 Jul 2022
Topic Review
Upper-Limb Physical Rehabilitation with Techology
The use of videogames and motion capture systems in physical rehabilitation contributes to the recovery of the patient, for this reason, there is a tendency to continue generating proposals that face the challenges of rehabilitation with technologies that offer precision and care coverage, and that, additionally, integrate elements that promote the motivation and participation of the patient.
  • 149
  • 16 Nov 2020
Topic Review
Unmanned Aerial Vehicles in Precision Agriculture Sensing Applications
Precision agriculture (PA) is becoming highly significant in today’s technologically advanced world and has been considered as the farm for the future. This is a modern farming management concept using digital techniques to monitor and optimize agricultural production processes by using technological advancement. PA uses modern technology and principles to manage the spatial and temporal variability in all aspects of agricultural production for the goal of improving crop performance. 
  • 78
  • 01 Apr 2022
Topic Review
Unlicensed Massive Machine Type Communications
Machine-type communications (MTC) is a non-human centric concept introduced under the umbrella of IoT for the future communications technology, 5G, which can support a high number of connectivity in the network and can provide different quality of services.
  • 721
  • 30 Oct 2020
Topic Review
Underwater Vision Enhancement
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the absorption and scattering of incident light by water bodies, the video images collected underwater generally appear blue-green and have an apparent fog-like effect. In addition, blur, low contrast, color distortion, more noise, unclear details, and limited visual range are the typical problems that degrade the quality of underwater video images. Underwater vision enhancement uses computer technology to process degraded underwater images and convert original low-quality images into a high-quality image. The problems of color bias, low contrast, and atomization of original underwater video images are effectively solved by using vision enhancement technology. Enhanced video images improve the visual perception ability and are benefificial for subsequent visual tasks. Therefore, underwater video image enhancement technology has important scientifific signifificance and application value. 
  • 107
  • 03 Mar 2022
Topic Review
Transformers Health
Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. A group of authors from University of Hawaii at Manoa and University of Palermo have reviewed the literature in the area, analyzed the latest techniques as well as highlighted the advantages and disadvantages of current methodologies. This gives the other researchers an overview of the development process of distribution transformer condition assessment technologies, thereby continuing to develop new effective evaluation techniques.
  • 192
  • 24 Nov 2020
Topic Review
Traditional Visual Simultaneous Localization and Mapping
Simultaneous Localization and Mapping (SLAM) was first applied in the field of robotics. Its goal is to build a real-time map of the surrounding environment based on sensor data without any prior knowledge, and at the same time predict its own location based on the map. SLAM has attracted extensive attention from many researchers since it was first proposed in 1986 and is now a necessary capability for autonomous mobile robots.
  • 41
  • 04 Jul 2022
Topic Review
Time Optimization of Drones Using an Augmented Path
With the pandemic gripping the entire humanity and with uncertainty hovering like a black cloud over all our future sustainability and growth, it became almost apparent that though the development and advancement are at their peak, we are still not ready for the worst. New and better solutions need to be applied so that we will be capable of fighting these conditions. One such prospect is delivery, where everything has to be changed, and each parcel, which was passed people to people, department to department, has to be made contactless throughout with as little error as possible. Thus, the prospect of drone delivery and its importance came around with optimization of the existing system for making it useful in the prospects of delivery of important items like medicines, vaccines, etc. These modular AI-guided drones are faster, efficient, less expensive, and less power-consuming than the actual delivery. 
  • 70
  • 10 Dec 2021
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