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Ethics of Gamification in Health and Fitness-Tracking [PDF]
International Journal of Environmental Research and Public Health, 2021 The use of game-like elements is become increasingly popular in the context of fitness and health apps. While such “gamified” apps hold great potential in motivating people to improve their health, they also come with a “darker side”. Recent work suggests that these gamified health apps raise a number of ethical challenges that, if left unaddressed ...
Chirag Arora
exaly +3 more sources
Youth, 2023 Digital self-tracking tools can be part of body work to measure, monitor, and optimise progress towards idealised versions of the self. Fitness and calorie trackers are obvious examples but menstrual tracking apps, which can track a large range of bodily
Anna Friedlander
doaj +3 more sources
Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables
Informatics, 2017 Wearable fitness trackers have gained a new level of popularity due to their ambient data gathering and analysis. This has signalled a trend toward self-efficacy and increased motivation among users of these devices.
Stavros Asimakopoulos +2 more
doaj +3 more sources
Sensors, 2022 Every soccer game influences each player’s performance differently. Many studies have tried to explain the influence of different parameters on the game; however, none went deeper into the core and examined it minute-by-minute.
Arian Skoki +4 more
doaj +1 more source
Inertial Sensor-Based Sport Activity Advisory System Using Machine Learning Algorithms
Sensors, 2023 The aim of this study was to develop a physical activity advisory system supporting the correct implementation of sport exercises using inertial sensors and machine learning algorithms.
Justyna Patalas-Maliszewska +6 more
doaj +1 more source
A GPU-Based Kalman Filter for Track Fitting [PDF]
Computing and Software for Big Science, 2021 AbstractComputing centres, including those used to process High-Energy Physics data and simulations, are increasingly providing significant fractions of their computing resources through hardware architectures other than x86 CPUs, with GPUs being a common alternative.
Xiaocong Ai +4 more
openaire +4 more sources
, 2020 AbstractTrack fitting is an application of established statistical estimation procedures with well-known properties. For a long time, estimators based on the least-squares principle were—with some notable exceptions—the principal methods for track fitting. More recently, robust and adaptive methods have found their way into the reconstruction programs.
Rudolf Frühwirth, Are Strandlie
openaire +1 more source
Sphere Fitting with Applications to Machine Tracking [PDF]
Algorithms, 2020 We suggest a provable and practical approximation algorithm for fitting a set P of n points in R d to a sphere. Here, a sphere is represented by its center x ∈ R d and radius r > 0 . The goal is to minimize the sum ∑ p ∈ P ∣ p − x − r ∣ of distances to the points up to a multiplicative factor of 1 ± ε ,
Dror Epstein, Dan Feldman
openaire +2 more sources
JMIR Cardio, 2022 BackgroundModern lifestyle is associated with a high prevalence of physical inactivity. ObjectiveThis study aims to investigate the effect of a wearable tracking device on cardiorespiratory fitness among inactive ...
Lisbeth Hoejkjaer Larsen +3 more
doaj +1 more source
Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring [PDF]
PeerJ, 2018 Background There are many problems with fitness trackers, such as device usability, which limit their large-scale application, and relevant studies are limited in terms of their sample size and evaluation methods. The purpose of the study was to evaluate
Yuxi Jia +5 more
doaj +2 more sources