125,137 research outputs found

    Aplikasi Kebugaran dan Kesehatan Berbasis Android Sebagai Panduan Latihan Fisik di Tengah Situasi Pandemi Covid-19

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    This community service activity is carried out through socialization, education and training on the use of the Android Application for PKK groups in Siroto, Candi Rejo Village, West Ungaran District, Semarang Regency. This service activity aims to provide an understanding for the Siroto PKK group about the urgency of physical activity at home in managing fitness and public health in the form of activities in the form of socialization, education, and Android-based applications regarding fitness activities, so that they can develop the physical condition and fitness of partners and be able to maintain health amid the outbreak of the Covid-19 contagious. This service was carried out in 4 months which included initial observations to bring up existing problems and then reviewed them for problem solving, continued with initial seminars and preparations, training (theory and practice), and reporting. The service was carried out with theoretical material: a) identification and prevention of covid-19 transmission, b) healthy food as an effort to prevent Covid-19, c) efforts to improve fitness and public health through android-based applications. Service with practical material in the form of improving community skills through the use of Android-based fitness applications.Keywords: android app, fitness, health, physical activity, covid-1

    Aplikasi Kebugaran dan Kesehatan Berbasis Android Sebagai Panduan Latihan Fisik di Tengah Situasi Pandemi Covid-19

    Get PDF
    This community service activity is carried out through socialization, education and training on the use of the Android Application for PKK groups in Siroto, Candi Rejo Village, West Ungaran District, Semarang Regency. This service activity aims to provide an understanding for the Siroto PKK group about the urgency of physical activity at home in managing fitness and public health in the form of activities in the form of socialization, education, and Android-based applications regarding fitness activities, so that they can develop the physical condition and fitness of partners and be able to maintain health amid the outbreak of the Covid-19 contagious. This service was carried out in 4 months which included initial observations to bring up existing problems and then reviewed them for problem solving, continued with initial seminars and preparations, training (theory and practice), and reporting. The service was carried out with theoretical material: a) identification and prevention of covid-19 transmission, b) healthy food as an effort to prevent Covid-19, c) efforts to improve fitness and public health through android-based applications. Service with practical material in the form of improving community skills through the use of Android-based fitness applications.Keywords: android app, fitness, health, physical activity, covid-1

    Online Group-exercises for Older Adults of Different Physical Abilities

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    In this paper we describe the design and validation of a virtual fitness environment aiming at keeping older adults physically and socially active. We target particularly older adults who are socially more isolated, physically less active, and with less chances of training in a gym. The virtual fitness environment, namely Gymcentral, was designed to enable and motivate older adults to follow personalised exercises from home, with a (heterogeneous) group of remote friends and under the remote supervision of a Coach. We take the training activity as an opportunity to create social interactions, by complementing training features with social instruments. Finally, we report on the feasibility and effectiveness of the virtual environment, as well as its effects on the usage and social interactions, from an intervention study in Trento, Ital

    Measuring the Use of the Active and Assisted Living Prototype CARIMO for Home Care Service Users: Evaluation Framework and Results

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    To address the challenges of aging societies, various information and communication technology (ICT)-based systems for older people have been developed in recent years. Currently, the evaluation of these so-called active and assisted living (AAL) systems usually focuses on the analyses of usability and acceptance, while some also assess their impact. Little is known about the actual take-up of these assistive technologies. This paper presents a framework for measuring the take-up by analyzing the actual usage of AAL systems. This evaluation framework covers detailed information regarding the entire process including usage data logging, data preparation, and usage data analysis. We applied the framework on the AAL prototype CARIMO for measuring its take-up during an eight-month field trial in Austria and Italy. The framework was designed to guide systematic, comparable, and reproducible usage data evaluation in the AAL field; however, the general applicability of the framework has yet to be validated

    Solemate: A Music App for Runners

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    Solemate is a mobile application designed to enhance the running experience through music. Our feed-forward algorithm sets the runner’s pace by playing music that varies in tempo. By encouraging the user to match their steps to the beat, our application cultivates a run that feels natural and inspires intrinsic motivation, especially for the beginner runner

    Improved detection of Probe Request Attacks : Using Neural Networks and Genetic Algorithm

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    The Media Access Control (MAC) layer of the wireless protocol, Institute of Electrical and Electronics Engineers (IEEE) 802.11, is based on the exchange of request and response messages. Probe Request Flooding Attacks (PRFA) are devised based on this design flaw to reduce network performance or prevent legitimate users from accessing network resources. The vulnerability is amplified due to clear beacon, probe request and probe response frames. The research is to detect PRFA of Wireless Local Area Networks (WLAN) using a Supervised Feedforward Neural Network (NN). The NN converged outstandingly with train, valid, test sample percentages 70, 15, 15 and hidden neurons 20. The effectiveness of an Intruder Detection System depends on its prediction accuracy. This paper presents optimisation of the NN using Genetic Algorithms (GA). GAs sought to maximise the performance of the model based on Linear Regression (R) and generated R > 0.95. Novelty of this research lies in the fact that the NN accepts user and attacker training data captured separately. Hence, security administrators do not have to perform the painstaking task of manually identifying individual frames for labelling prior training. The GA provides a reliable NN model and recognises the behaviour of the NN for diverse configurations

    Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour

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    Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial
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