50 research outputs found
Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data
[EN]At present, obesity and overweight are a global health epidemic. Traditional interventions
for promoting healthy habits do not appear to be e ective. However, emerging technological solutions
based on wearables and mobile devices can be useful in promoting healthy habits. These applications
generate a considerable amount of tracked activity data. Consequently, our approach is based on
the quantified-self model for recommending healthy activities. Gamification can also be used as
a mechanism to enhance personalization, increasing user motivation. This paper describes the
quantified-self model and its data sources, the activity recommender system, and the PROVITAO
App user experience model. Furthermore, it presents the results of a gamified program applied for
three years in children with obesity and the process of evaluating the quantified-self model with
experts. Positive outcomes were obtained in children’s medical parameters and health habits
Effects of a Gamified Educational Program in the Nutrition of Children with Obesity
[EN]Obesity is considered a global epidemic of the twenty-first century by the World Health Organization (WHO). Specifically, the Canary Islands has the highest level of this disease in Europe and 40% of children in Spain are overweight or obese. This increase is a direct result of changes in the lifestyles of the population and its nutrition. Because of this, we have designed an educational program based on motor games, active videogames and virtual learning environments to improve the long-term health of children. This article presents and analyzes the results of a study on the nutritional knowledge and adherence to the Mediterranean diet of 46 obese children aged 6 to 12 years in the Canary Islands who participated in an educational program. The study design was quasi-experimental, with two groups (experimental and control). A long-term longitudinal study (3 years) was carried out. A set of evaluation instruments was used for the different phases. The results show significant improvements between the experimental and control groups in terms of their knowledge of healthy nutrition and their adherence to the Mediterranean diet. As a main conclusion, we emphasize that a gamified educational intervention program supported by ICT helps to motivate and promote improvements in the nutrition of children
Improving Cognitive Visual-Motor Abilities in Individuals with Down Syndrome
Down syndrome causes a reduction in cognitive abilities, with visual-motor skills being
particularly affected. In this work, we have focused on this skill in order to stimulate better learning.
The proposal relies on stimulating the cognitive visual-motor skills of individuals with Down
Syndrome (DS) using exercises with a gestural interaction platform based on the KINECT sensor
named TANGO:H, the goal being to improve them. To validate the proposal, an experimental
single-case study method was designed using two groups: a control group and an experimental
one, with similar cognitive ages. Didactic exercises were provided to the experimental group using
visual cognitive stimulation. These exercises were created on the TANGO:H Designer, a platform that
was designed for gestural interaction using the KINECT sensor. As a result, TANGO:H allows for
visual-motor cognitive stimulation through the movement of hands, arms, feet and head. The “Illinois
Test of Psycholinguistic Abilities (ITPA)” was applied to both groups as a pre-test and post-test in its
four reference sections: visual comprehension, visual-motor sequential memory, visual association,
and visual integration. Two checks were made, one using the longitudinal comparison of the
pre-test/post-test of the experimental group, and another that relied on comparing the difference of the
means of the pre-test/post-test. We also used an observational methodology for the working sessions
from the experimental group. Although the statistical results do not show significant differences
between the two groups, the results of the observations exhibited an improvement in visual-motor
cognitive skills
Treatment of children obesity and diabetes through gamification
Childhood obesity is nowadays a global epidemic. This illness
sometimes comes with another associated problem, like Diabetes
type II. In this paper we present a case of study about the results
of the application of a gamified educational program. A 3-year
longitudinal and prospective study was conducted a patient with
obesity and diabetes. Different assessments regarding the health
state of the patient have been developed (family background,
physical/medical, emotional state and physical activity). Using
Positive outcomes have been obtained in their medical registers
and also, in their health habits. Thus, the application of
gamification strategies in the educational program has positive
impact in the health
PROVITAO: a research program based on active games for help the abulatory treatment of childhood obesity
Childhood obesity is the most prevalent chronic disease in developed and developing countries. Recent studies showed that the Canary Islands are the Spanish region with the highest rate of childhood obesity. However, this disease is easy to prevent, educating children from healthy habits, and, the ICT in general and videogames in particular, represent an opportunity to work towards change. Therefore, this paper presents the design of an educational intervention program to help the ambulatory treatment of childhood obesity. This program is intended for children 8 to 12 years of age with obesity and who come for the first time to the Pediatric Service of the University Hospital of Canaries, and is currently being validated. The partial results show that the satisfaction of the minors with the program is high, emphasizing the focus in games
Sloan Digital Sky Survey IV: mapping the Milky Way, nearby galaxies, and the distant universe
We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median ). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July
Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe
We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median ). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July
Sloan Digital Sky Survey IV : mapping the Milky Way, nearby galaxies, and the distant universe
We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median z ~ 0.03). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between z ~ 0.6 and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July
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Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe
We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing
three major spectroscopic programs. The Apache Point Observatory Galactic
Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky
Way stars at high resolution and high signal-to-noise ratio in the
near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA)
survey is obtaining spatially-resolved spectroscopy for thousands of nearby
galaxies (median redshift of z = 0.03). The extended Baryon Oscillation
Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas
distributions between redshifts z = 0.6 and 3.5 to constrain cosmology using
baryon acoustic oscillations, redshift space distortions, and the shape of the
power spectrum. Within eBOSS, we are conducting two major subprograms: the
SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray
AGN and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey
(TDSS), obtaining spectra of variable sources. All programs use the 2.5-meter
Sloan Foundation Telescope at Apache Point Observatory; observations there
began in Summer 2014. APOGEE-2 also operates a second near-infrared
spectrograph at the 2.5-meter du Pont Telescope at Las Campanas Observatory,
with observations beginning in early 2017. Observations at both facilities are
scheduled to continue through 2020. In keeping with previous SDSS policy,
SDSS-IV provides regularly scheduled public data releases; the first one, Data
Release 13, was made available in July 2016