東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

Use of Music to Improve Running Perf...

Buttice, Jeremy.

FindBook

Google Book

Amazon

博客來

Use of Music to Improve Running Performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Use of Music to Improve Running Performance./
作者:	Buttice, Jeremy.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	41 p.
附註:	Source: Masters Abstracts International, Volume: 82-02.
Contained By:	Masters Abstracts International82-02.
標題:	Behavioral sciences. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28023126
ISBN:	9798662469570

Use of Music to Improve Running Performance.
Buttice, Jeremy.

Use of Music to Improve Running Performance. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 41 p.

Source: Masters Abstracts International, Volume: 82-02.

Thesis (M.S.)--University of South Florida, 2020.

This item must not be sold to any third party vendors.

Running is an exercise that requires minimal equipment and gear therefore, running is easily accessible for many people. Research has shown performance benefits when music is used while running such as increased cadence (steps per minute), increased speed, and decrease in perceived exertion. Since music is easily accessible during a run (e.g., smartphone or smartwatch), one can utilize the technology in these smart devices to track specific aspects of their run. Accelerometers, GPS, heart rate sensors, gyroscopes, and barometers can be utilized to track speed, distance, physical exertion, steps, and cadence. Software developers can take advantage of these features in smart devices to create applications that combine performance features with music that could potentially increase running performance. This literature review describes the use of Applied Behavior Analysis in sports and running, reviews studies that used music to increase exercise and running performance, and discusses studies that combined music and technology to increase running performance. Considerations for future research using ABA, music, technology, and running are also discussed.

ISBN: 9798662469570Subjects--Topical Terms:

529833
Behavioral sciences.
Subjects--Index Terms:

Applied Behavior Analysis

Use of Music to Improve Running Performance.
LDR:02244nmm a2200361 4500 001 2277825
005 20210528102135.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798662469570
035 $a (MiAaPQ)AAI28023126
035 $a AAI28023126
040 $a MiAaPQ $c MiAaPQ
100 1 $a Buttice, Jeremy. $3 3556156
245 1 0 $a Use of Music to Improve Running Performance.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 41 p.
500 $a Source: Masters Abstracts International, Volume: 82-02.
500 $a Advisor: Crosland, Kimberly.
502 $a Thesis (M.S.)--University of South Florida, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Running is an exercise that requires minimal equipment and gear therefore, running is easily accessible for many people. Research has shown performance benefits when music is used while running such as increased cadence (steps per minute), increased speed, and decrease in perceived exertion. Since music is easily accessible during a run (e.g., smartphone or smartwatch), one can utilize the technology in these smart devices to track specific aspects of their run. Accelerometers, GPS, heart rate sensors, gyroscopes, and barometers can be utilized to track speed, distance, physical exertion, steps, and cadence. Software developers can take advantage of these features in smart devices to create applications that combine performance features with music that could potentially increase running performance. This literature review describes the use of Applied Behavior Analysis in sports and running, reviews studies that used music to increase exercise and running performance, and discusses studies that combined music and technology to increase running performance. Considerations for future research using ABA, music, technology, and running are also discussed.
590 $a School code: 0206.
650 4 $a Behavioral sciences. $3 529833
650 4 $a Music therapy. $3 517530
650 4 $a Recreation. $3 535376
650 4 $a Kinesiology. $3 517627
653 $a Applied Behavior Analysis
653 $a Running exercise
653 $a Smart technology
690 $a 0602
690 $a 0209
690 $a 0575
690 $a 0814
710 2 $a University of South Florida. $b Child and Family Studies. $3 1671651
773 0 $t Masters Abstracts International $g 82-02.
790 $a 0206
791 $a M.S.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28023126