88 research outputs found

    Jetstream Vol 01 Issue 07

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    https://commons.erau.edu/jetstream/1009/thumbnail.jp

    Predicting upcoming values of stress while driving

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    The levels of stress while driving affect the way we drive and have an impact on the likelihood of having an accident. Different types of sensors, such as heart rate or skin conductivity sensors, have been previously used to measure stress related features. Estimated stress levels could be used to adapt the driver's environment to minimize distractions in high cognitive demanding situations and to promote stress-friendly driving behaviors. The way we drive has an impact on how stressors affect the perceived cognitive demands by drivers, and at the same time, the perceived stress has an impact on the actions taken by the driver. In this paper, we evaluate how effectively upcoming stress levels can be predicted considering current stress levels, current driving behavior, and the shape of the road. We use features, such as the positive kinetic energy and severity of curves on the road to estimate how stress levels will evolve in the next minute. Different machine learning techniques are evaluated and the results for both intra and inter-city driving and for both intra and inter driver data are presented. We have used data from four different drivers with three different car models and a motorbike and more than 220 test drives. Results show that upcoming stress levels can be accurately predicted for a single user ( correlation r = 0.99 and classification accuracy 97.5%) but prediction for different users is more limited ( correlation r = 0.92 and classification accuracy 46.9%).This work was supported in part by HERMES-SMART DRIVER Project through Spanish MINECO under Project TIN2013-46801-C4-2-R, in part by the Ministerio de Educación Cultura y Deporte under Grant PRX15/0003

    Conceptual Framework for the Brockport Physical Fitness Test

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    In this manuscript, the conceptual framework for the Brockport Physical Fitness Test (BPFT) is presented. The framework provides the ba.sis for the selection of test items and standards to assess health-related physical fitness of youngsters with disabilities. The framework defines and describes the relationships among health, physical activity, and health-related physical fitness and presents the process used for personalizing health-related criterion-referenced physical fitness testing and ssessment for youngsters with disabilities

    The specialist versus the non-specialist in achieving physical fitness

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    Thesis (Ed.M.)--Boston Universit

    The Parthenon, April 3, 1968

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    A Factor Analysis of Physical Fitness Components for Seventh Grade Chinese Students

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    The main purpose of this study is to explore the basic elements of physical fitness, which can serve as a source for the construction of a physical fitness test for Chinese students. The subjects of this study are 100 male seventh grade students of junior high school in Kaohsiung City, Republic of China. A physical fitness test consisting of 29 subtests was devised and used as the basis for the investigation. Data collected from tests were analyzed by means of factor analysis and resulting in the following: I. Seven basic elements that account for physical fitness were found. They were speed-explosive strength, the size of the body, endurance, coordination, strength of body muscle, flexibility, and dynamic flexibility-dynamic strength. These seven factors accounted for 70% of the total variance of physical fitness. II. Items in the physical fitness test which correspond to factors were given below: 1. Speed-explosive strength factor - 100, 40, 80, 60, and 50 meter dashes, standing long jump, shuttle run and vertical jump. 2. The size of the body factor - weight, height, grip strength, chest girth, softball throw for accuracy, handball throw for distance. 3. Endurance factor - 1000, 1200 and 800 meter run. 4. Coordination factor - standing triple jump, softball throw for distance. 5. Strength of body muscle factor - sit-ups for 1 minute, sit-ups for 30 seconds. 6. Flexibility factor - side-steps, trunk extension backward, zig-zag run. 7. Dynamic flexibility-dynamic strength factor - trunk extension forward, push-ups, pull-ups. According to the investigation described above, each of the seven basic elements of physical fitness was virtually independent. When high scores on certain fitness measures are found but are not found on other measures, we, therefore, cannot assume there is a general physical fitness criteria
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