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模拟瀑布和日常生活活动数据集

模拟瀑布和日常生活活动数据集

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Ahmet Turan ?–zdemirPhone: +90 352 207 6666 (int 32233)Addr: Erciyes University, Electrical and Electronic Department,......

数据结构 ? 1.2G

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    README.md

    Ahmet Turan ?–zdemir
    Phone: +90 352 207 6666 (int 32233)
    Addr: Erciyes University, Electrical and Electronic Department, TR 38039, Melikgazi/Kayseri/Turkey
    aturan '@' erciyes.edu.tr
    www.aturan.com

    Billur Barshan
    Phone: +90 312 290 2161
    Addr: Bilkent University, Electrical and Electronic Department, TR 06800, Bilkent/Ankara/Turkey
    http://kilyos.ee.bilkent.edu.tr/~billur/
    billur '@' ee.bilkent.edu.tr


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    Relevant Papers:

    [1] Ozdemir, A.T.; Barshan, B. “Detecting Falls with Wearable Sensors Using Machine Learning Techniques.”, Sensors 2014, 14, 10691-10708.
    [2] Ozdemir A.T., Orman A., ' Developing an iPhone smartphone based fall detection algorithm.', IEEE, 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16-19 May 2015, pp.1-4.
    [3] Ozdemir A.T., 'An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice.', Sensors 2016, 16, 11691.
    [4] Ntanasis P., Pippa E., Ozdemir A.T., Barshan B., Megalooikonomou V., 'Investigation of sensor placement for accurate fall detection', 6th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Milan, Italy, 14-16 Nov. 2016, pp.1-6



    Citation Request:

    ?–zdemir, A.T.; Barshan, B. a€?Detecting Falls with Wearable Sensors Using Machine Learning Techniques.a€?, Sensors 2014, 14, 10691-10708.

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