scholarly journals Connected Skiing: Motion Quality Quantification in Alpine Skiing

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3779
Author(s):  
Cory Snyder ◽  
Aaron Martínez ◽  
Rüdiger Jahnel ◽  
Jason Roe ◽  
Thomas Stöggl
Keyword(s):  
Principal Component ◽  
Radial Force ◽  
Alpine Skiing ◽  
Sensing Technology ◽  
Recent Developments ◽  
Set Protocol ◽  
Alpine Skiers ◽  
Novel Concept ◽  
Component Models ◽  
Motion Quality

Recent developments in sensing technology have made wearable computing smaller and cheaper. While many wearable technologies aim to quantify motion, there are few which aim to qualify motion. (2) To develop a wearable system to quantify motion quality during alpine skiing, IMUs were affixed to the ski boots of nineteen expert alpine skiers while they completed a set protocol of skiing styles, included carving and drifting in long, medium, and short radii. The IMU data were processed according to the previously published skiing activity recognition chain algorithms for turn segmentation, enrichment, and turn style classification Principal component models were learned on the time series variables edge angle, symmetry, radial force, and speed to identify the sources of variability in a subset of reference skiers. The remaining data were scored by comparing the PC score distributions of variables to the reference dataset. (3) The algorithm was able to differentiate between an expert and beginner skier, but not between an expert and a ski instructor, or a ski instructor and a beginner. (4) The scoring algorithm is a novel concept to quantify motion quality but is limited by the accuracy and relevance of the input data.

An assistive household robot – doing more than just cleaning

2014 ◽  
Vol 8 (2) ◽  
pp. 64-76 ◽  
Author(s):  
Julia Kantorovitch ◽  
Janne Väre ◽  
Vesa Pehkonen ◽  
Arto Laikari ◽  
Heikki Seppälä
Keyword(s):  
Elderly Care ◽  
Empirical Evaluation ◽  
Ageing Population ◽  
Vacuum Cleaner ◽  
Content Type ◽  
Technology Products ◽  
Sensing Technology ◽  
Starting Point ◽  
Novel Concept ◽  
Reliability And Robustness

Purpose – The purpose of this paper is to create new ideas for assistive technology products at home, especially products utilizing robotic consumer appliances available in the homes of elderly people. The work was founded on a reported increase in household robots as well as an ageing population in the industrialized world. Design/methodology/approach – Technology should be something that is perceived as belonging to our own world that fits our daily practices. Earlier studies show that in addition to cleaning functions, new household robots could change home routines and people's relationship to them. Taking the previous studies as a starting point, the paper proposes a vacuum cleaner robot as a platform for developing pervasive safety services and describe implementation of a conceptual prototype which brings the feeling of safety to an older person and their relatives by assisting in case of accidents. Moreover, the results are presented of an empirical evaluation of the prototype with end-users. Findings – It is proved that reasonably priced off-the-shelf components can be used to build the safety product demonstration model. The initial evaluation results, as well as referenced studies show that the acceptance rate of a household robot-based product is high, which is encouraging for further research in this domain. Also the paper could pinpoint areas that will require further work. Research limitations/implications – To add more practicality to the research and move towards product development, a strong industrial partner involved in household robotics would be needed. For increased reliability and robustness, more research is required in areas of advanced sensing technology and decision algorithms. Originality/value – A novel concept of a safety product for elderly care based on a vacuum cleaner robot is presented and an attempt is made to increase awareness that there will be a demand for such products.

scholarly journals Software Tools for Engineering Dark Skies

1991 ◽  
Vol 112 ◽  
pp. 71-76
Author(s):  
A. M. Smith ◽  
D. L. Dilaura
Keyword(s):  
Applied Mathematics ◽  
Computer Software ◽  
Principal Component ◽  
Software Systems ◽  
Atmospheric Scattering ◽  
Recent Developments ◽  
Proper Design ◽  
Lighting Systems ◽  
The Cost ◽  
Optical Astronomy

ABSTRACTAtmospheric scattering of outdoor nighttime electric illumination produces the principal component of background sky luminance that seriously affects ground-based optical astronomy. The sources for this scattering are Tight emitted skyward directly from luminaires, and light reflected off the ground and other illuminated objects. Careful illumination engineering can thus significantly reduce background sky luminance in two ways: 1) by providing outdoor electric lighting equipment that controls the directions in which light is emitted, and; 2) by proper design of outdoor lighting systems which make efficient use of the east amount of light. Recent developments in applied mathematics and computer software have produced computational tools that are being used to design lighting equipment and lighting systems. The software system for luminaire design significantly reduces the cost of this process by eliminating the need for extensive prototyping and provides for inexpensive experimentation with new designs. The system for outdoor lighting calculations permits the design of highly controlled lighting systems that eliminate glare and upward directed light while providing light appropriate for the visual task. These two software systems are described, along with examples of their use in areas that directly affect astronomical observations.

scholarly journals The application of pattern recognition techniques in metabolite fingerprinting of six differentPhyllanthusspp.

2011 ◽  
Vol 26 (1) ◽  
pp. 69-78 ◽  
Author(s):  
Saravanan Dharmaraj ◽  
Lay-Harn Gam ◽  
Shaida Fariza Sulaiman ◽  
Sharif Mahsufi Mansor ◽  
Zhari Ismail
Keyword(s):  
Pattern Recognition ◽  
Principal Component ◽  
Canonical Variate ◽  
Batch Mode ◽  
Mid Infrared ◽  
Linear Discriminant ◽  
Pattern Recognition Techniques ◽  
Pattern Recognition Methods ◽  
Ftir Spectrometer ◽  
Component Models

FTIR spectroscopy was used together with multivariate analysis to distinguish six different species ofPhyllanthus. Among these speciesP. niruri,P. debilisandP. urinariaare morphologically similar whereasP. acidus,P. emblicaandP. myrtifoliusare different. The FTIR spectrometer was used to obtain the mid-infrared spectra of the dried powdered leaves in the region of 400–4000 cm−1. The region of 400–2000 cm−1was analyzed with four different pattern recognition methods. Initially, principal component analysis (PCA) was used to reduce the spectra to six principal components and these variables were used for linear discriminant analysis (LDA). The second technique used LDA on most discriminating wavenumber variables as searched by genetic algorithm using canonical variate approach for either 30 or 60 generations. SIMCA, which consisted of constructing an enclosure for each species using separate principal component models, was the third technique. Finally, multi-layer neural network with batch mode of backpropagation learning was used to classify the samples. The best results were obtained with GA of 60 gens. When LDA was run with the six wavenumbers chosen (1151, 1578, 1134, 609, 876 and 1227), 100% of the calibration spectra and 96.3% of the validation spectra were correctly assigned.

Sensing with terahertz radiation: a review of recent progress

Sensor Review ◽  
2018 ◽  
Vol 38 (2) ◽  
pp. 216-222 ◽  
Author(s):  
Robert Bogue
Keyword(s):  
Terahertz Radiation ◽  
Content Type ◽  
Research Activities ◽  
Sensing Technology ◽  
Radiation Sources ◽  
Recent Developments ◽  
Terahertz Sensing ◽  
Strong Body ◽  
Insight Into ◽  
Selection Of

Purpose This paper aims to provide a technical insight into a selection of recent developments and applications involving terahertz sensing technology. Design/methodology/approach Following an introduction, the first part of this paper considers a selection of research activities involving terahertz radiation sources and detectors. The second part seeks to illustrate how the technology is exerting a commercial impact and discusses a number of product developments and applications. Findings Terahertz sensing is a rapidly developing field and a strong body of research seeks to develop sources and detectors with enhanced features which often exploit novel materials, phenomena and technologies. Commercialisation is gathering pace, and a growing number of companies are producing terahertz sensing and imaging products which are finding a diversity of applications. Originality/value This provides details of recent research, product developments and applications involving terahertz sensing technology.

scholarly journals Clean-AR: Using Augmented Reality for Reducing the Risk of Contamination from Airborne Disease Agents on Surfaces

2021 ◽  
Vol 7 (1) ◽  
pp. 6-10
Author(s):  
Kevin Yu ◽  
Daniel Ostler ◽  
Jonas Fuchtmann ◽  
Anna Zapaishchykova ◽  
Maximilian Berlet ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Human Movement ◽  
Research Direction ◽  
Clinical Environment ◽  
Contagious Diseases ◽  
Sensing Technology ◽  
Modern Health Care ◽  
Operating Theatres ◽  
Display Technology ◽  
Novel Concept

Abstract A core principle of modern health care is the compliance of hygienic and aseptic techniques in areas that are sensitive to contamination through bacteria, dust, aerosols, and fallout, primarily in operating theatres or around patients with contagious diseases. Keeping track of potentially contaminated surfaces in an environment is a major concern, especially when protecting from COVID-19. This work proposes a novel concept in using 3D sensing technology to track human movement within an indoor area and identifying high-risk contaminated surfaces in real-time. It combines recent Augmented Reality display technology, which allows keeping track of decontaminated surfaces during the cleaning process using an interactive visualization method. The proposed concept of Clean- AR is implemented in a clinical environment used for observation in COVID-19 scenarios. We discuss key challenges and outline further research direction in effectively reducing the risk of contamination using the proposed concept.

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