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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Assessing Human Stress Through Smartphone Usage</text>
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              <text>Activity recognition; Humansmartphone interactions; Smart stress sense; Stress analysis; Stress through smartphone</text>
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              <text>Stress occurs in a human being when they are faced with exigent situations in life. Assessing stress has been always challenging. Smartphones have become a part of everyones day-to-day activity in the present time. Considering humansmartphone interaction, sensing of stress in an individual can be assessed as todays youth spends most of their time with smartphones. Taking this into consideration, a study is carried out in this paper on assessing stress of an individual based on their interaction with the smartphone. In this work, humansmartphone interaction features, like swipe, scroll, and text input, are examined. Text input is incorporated by disabling the autocorrection and spelling checker features of the keyboard. Moreover, sensor data is used by Google activity recognition API to analyze the physical activity of the individual to assess the stress level.  2019, Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Sisodia P.R.; Vijayalakshmi A.</text>
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              <text>Lecture Notes in Electrical Engineering, Vol-545, pp. 389-399.</text>
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              <text>Springer Verlag</text>
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          <name>Date</name>
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              <text>2019-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-13-5802-9_36" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-13-5802-9_36&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065462192&amp;amp;doi=10.1007%2F978-981-13-5802-9_36&amp;amp;partnerID=40&amp;amp;md5=5527ca711817ddf4705a6e8fa96b7f64" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065462192&amp;amp;doi=10.1007%2f978-981-13-5802-9_36&amp;amp;partnerID=40&amp;amp;md5=5527ca711817ddf4705a6e8fa96b7f64&lt;/a&gt;</text>
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            <elementText elementTextId="187497">
              <text>Restricted Access</text>
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              <text>ISSN: 18761100; ISBN: 978-981135801-2</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Sisodia P.R., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Vijayalakshmi A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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