The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.

碩士 === 輔仁大學 === 跨專業長期照護碩士學位學程在職專班 === 107 === Taiwan has become an aged society in 2018 and will become a super-aged society by 2026. The problem of aging and its impact on society has been a concern with the public. In line with the expectations of the people and the needs of care, government pol...

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Main Authors: SANG, YU-CHUN, 桑予群
Other Authors: SHIH, YI-NUO
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/a8t237
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spelling ndltd-TW-107FJU017120142019-08-24T03:36:35Z http://ndltd.ncl.edu.tw/handle/a8t237 The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility. 利用人臉識別探討懷舊音樂對於長期照顧機構住民情緒的影響 SANG, YU-CHUN 桑予群 碩士 輔仁大學 跨專業長期照護碩士學位學程在職專班 107 Taiwan has become an aged society in 2018 and will become a super-aged society by 2026. The problem of aging and its impact on society has been a concern with the public. In line with the expectations of the people and the needs of care, government policies must address the distribution of medical long-term care resources and cooperate with the entire industry in order to promote the rights and interests of the elderly. Aging is a mandatory process. Maintaining dignity and elegance is an important goal for us as professionals. Capturing images of facial emotional features through face recognition, the images of the data set are processed by machine learning. When long term care residents hear Japanese, Mandarin, Taiwanese nostalgic music and white noise compared to the pretest, we can capture differences that appear on the face. The emotions are analyzed in order to provide a reference for future research. In this study, a total of 63,000 data were collected in 15 cases, showing changes among seven emotions in 120 seconds by the pretest without music and with intervention of nostalgic music and white noise. By the paired sample t-test, the Happy emotion increased significantly when listening to the old Chinese song. Upon hearing the old Chinese song or white noise, the Surprised emotion is significantly reduced. Compare to the Wilcoxon signed rank test, it was found that the emotional performance after listening was consistent with the paired sample t-test. When all the residents listen to the music and white noise, there are significant differences by the chi-square test in the measure of the emotional ratio per person per second. The Disgusted emotion decreased after all the musical intervention. In listening to Japanese and Chinese nostalgic music, the Happy emotion was increased. While listening to Taiwanese nostalgic music, Happy and Fearful emotions increased, whereas listening to white noise saw a significant rise in the Sad emotion. We individually observed the mode of emotions and the changes during listening to nostalgic music by the McNemar test. Listening to Japanese and Chinese nostalgic music, 9 residents (60%) had emotional changes and 6 residents (40%) had unchanged emotions. After listening to the Taiwanese nostalgic music, 11 residents (73%) had emotional changes, whereas 4 subjects (27%) had unchanged emotions. 11 residents (73%) had emotional changes when listening to white noise, and four residents (27%) remained unchanged. The result is statistically non-significant because of the sample size. We can use nostalgic music intervention for the residents in the long-term care facility to create a better care environment. In the appropriate situation, the principle of individualization can be used to achieve the purpose of relieving the mood of the residents. SHIH, YI-NUO 施以諾 2019 學位論文 ; thesis 66 zh-TW
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language zh-TW
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description 碩士 === 輔仁大學 === 跨專業長期照護碩士學位學程在職專班 === 107 === Taiwan has become an aged society in 2018 and will become a super-aged society by 2026. The problem of aging and its impact on society has been a concern with the public. In line with the expectations of the people and the needs of care, government policies must address the distribution of medical long-term care resources and cooperate with the entire industry in order to promote the rights and interests of the elderly. Aging is a mandatory process. Maintaining dignity and elegance is an important goal for us as professionals. Capturing images of facial emotional features through face recognition, the images of the data set are processed by machine learning. When long term care residents hear Japanese, Mandarin, Taiwanese nostalgic music and white noise compared to the pretest, we can capture differences that appear on the face. The emotions are analyzed in order to provide a reference for future research. In this study, a total of 63,000 data were collected in 15 cases, showing changes among seven emotions in 120 seconds by the pretest without music and with intervention of nostalgic music and white noise. By the paired sample t-test, the Happy emotion increased significantly when listening to the old Chinese song. Upon hearing the old Chinese song or white noise, the Surprised emotion is significantly reduced. Compare to the Wilcoxon signed rank test, it was found that the emotional performance after listening was consistent with the paired sample t-test. When all the residents listen to the music and white noise, there are significant differences by the chi-square test in the measure of the emotional ratio per person per second. The Disgusted emotion decreased after all the musical intervention. In listening to Japanese and Chinese nostalgic music, the Happy emotion was increased. While listening to Taiwanese nostalgic music, Happy and Fearful emotions increased, whereas listening to white noise saw a significant rise in the Sad emotion. We individually observed the mode of emotions and the changes during listening to nostalgic music by the McNemar test. Listening to Japanese and Chinese nostalgic music, 9 residents (60%) had emotional changes and 6 residents (40%) had unchanged emotions. After listening to the Taiwanese nostalgic music, 11 residents (73%) had emotional changes, whereas 4 subjects (27%) had unchanged emotions. 11 residents (73%) had emotional changes when listening to white noise, and four residents (27%) remained unchanged. The result is statistically non-significant because of the sample size. We can use nostalgic music intervention for the residents in the long-term care facility to create a better care environment. In the appropriate situation, the principle of individualization can be used to achieve the purpose of relieving the mood of the residents.
author2 SHIH, YI-NUO
author_facet SHIH, YI-NUO
SANG, YU-CHUN
桑予群
author SANG, YU-CHUN
桑予群
spellingShingle SANG, YU-CHUN
桑予群
The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.
author_sort SANG, YU-CHUN
title The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.
title_short The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.
title_full The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.
title_fullStr The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.
title_full_unstemmed The Use of Facial Recognition to Explore the Emotional Impact of Nostalgic Music on Residents of Long-Term Care Facility.
title_sort use of facial recognition to explore the emotional impact of nostalgic music on residents of long-term care facility.
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/a8t237
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