{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T11:27:56Z","timestamp":1787916476430,"version":"build-2784847793"},"reference-count":23,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:p>Artwork, generally refers to the work of plastic art. Artwork is divided into many categories, pottery art, traditional Chinese painting, abstract painting, musical instrument, sculpture, cultural relic sculpture, sandstone, imitation sandstone, ornaments, iron art, copper art, stainless steel sculpture and so on. With the continuous influx of artistic works, there are more and more studies on their emotional expression. How to judge whether musical works can bring joy, anger, sadness and joy to people? Is it joy over anger or anger over joy? Now in the era of the Internet of Things, the Internet of Things uses various information sensors, radio frequency identification technology, GPS, infrared sensors, laser scanners and other equipment and technologies to collect any objects and processes that need to be monitored, connected, and interacted in real time. By collecting various information such as sound, light, heat, electricity, mechanics, chemistry, biology, location and so on, and using various possible networks to connect, it can achieve intelligent perception, identification and management of objects and processes. The Internet of Things is an information carrier based on the Internet, traditional telecommunication networks and so on., so that all normal physical objects that can be individually located which can be connected together. The application field of the Internet of Things involves all aspects. The application in the fields of industry, agriculture, environment, transportation, logistics, security and other infrastructure has effectively promoted the intelligent development of these aspects, which making the limited resources more rational use and distribution, thus improving the efficiency and benefit of the industry. The application in household, medical and health, education, finance and service industry, tourism and other fields closely related to life has been greatly improved in terms of service scope, service method and service quality, which has greatly improved people\u2019s quality of life. Based on this, this paper mainly studies the aesthetic emotion expression analysis of piano music art in the context of the Internet of Things. It mainly talks about the classification of music characteristics, emotional theoretical models, and emotional induction methods. Finally, the experimental analysis of piano music and the use of brain wave technology are used to analyze the experimental data. The experimental results show that in the process of feature extraction and optimization, this paper optimizes the traditional feature extraction based on power spectral density through cognitive rules, and achieves the effect of feature dimension reduction on the basis of ensuring the recognition rate. This paper uses the topological properties of EEG to classify emotions. The results show that the emotion recognition rate under the four emotional states can reach 67.3%, which is much higher than the current highest level.<\/jats:p>","DOI":"10.3389\/fpsyg.2022.974586","type":"journal-article","created":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T13:11:39Z","timestamp":1665580299000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The aesthetic emotional expression of piano music art in the background of Internet of things"],"prefix":"10.3389","volume":"13","author":[{"given":"Xianhua","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qin","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,10,12]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.7816\/idil-06-32-09","article-title":"REVIEW OF MUSIC PRESERVICES TEACHERS\u2019 PIANO PERFORMANCE SELF EFFICACY LEVELS.","volume":"6","author":"Babacan","year":"2017","journal-title":"Idil J. Art Lang."},{"key":"B2","doi-asserted-by":"publisher","first-page":"2742","DOI":"10.1007\/s00266-021-02430-0","article-title":"Detection of baseline emotion in brow lift patients using artificial intelligence.","volume":"45","author":"Boonipat","year":"2021","journal-title":"Aesthet. Plas. Surg."},{"key":"B3","doi-asserted-by":"publisher","first-page":"4231","DOI":"10.1098\/rsos.191074","article-title":"An arrival time prediction method for bus system.","volume":"5","author":"Chen","year":"2018","journal-title":"IEEE Intern. Things J."},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.3390\/math7010019","article-title":"A two-step approach for classifying music genre on the strength of AHP weighted musical features.","volume":"7","author":"Chen","year":"2019","journal-title":"Mathematics"},{"key":"B5","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.3389\/fnins.2021.558421","article-title":"Musical emotion recognition in bimodal patients.","volume":"143","author":"D\u2019Onofrio","year":"2018","journal-title":"J. Acoust. Soc. Am."},{"key":"B6","doi-asserted-by":"publisher","first-page":"1877","DOI":"10.1121\/1.5101793","article-title":"Musical emotion perception in bimodal patients: Relationship between bimodal benefit and neural representation of temporal fine structure using rhodes piano stimuli.","volume":"145","author":"D\u2019Onofrio","year":"2019","journal-title":"J. Acoust. Soc. Am."},{"key":"B7","doi-asserted-by":"publisher","first-page":"292","DOI":"10.5505\/pajes.2017.15493","article-title":"Music emotion classification for Turkish songs using lyrics.","volume":"24","author":"Durahim","year":"2018","journal-title":"Pamukkale Univ. J. Eng. Sci."},{"key":"B8","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1515\/jlt-2018-0012","article-title":"Emotion in the appreciation of fiction.","volume":"12","author":"Ferran","year":"2018","journal-title":"J. Lit. Theory"},{"key":"B9","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1037\/pmu0000223","article-title":"Effects of extramusical information and human presence on perceived emotion intensity in electronic music.","volume":"29","author":"Grace","year":"2019","journal-title":"Psychomusicol. Music Mind Brain"},{"key":"B10","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1177\/0305735618792427","article-title":"Perception and experience of musical emotions in schizophrenia.","volume":"48","author":"Kerkova","year":"2018","journal-title":"Psychol. Music"},{"key":"B11","doi-asserted-by":"publisher","first-page":"245","DOI":"10.5934\/kjhe.2017.26.3.245","article-title":"Formativeness and aesthetic characteristics of tsumori chisato\u2019s fashion design.","volume":"26","author":"Kim","year":"2017","journal-title":"Korean J. Hum. Ecol."},{"key":"B12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1163\/22129758-12341286","article-title":"Is the idea of \u2018Musical Emotion\u2019.","volume":"5","author":"Kramarz","year":"2017","journal-title":"Greek Roman Music. Stud."},{"key":"B13","doi-asserted-by":"publisher","first-page":"3015","DOI":"10.1108\/IJCHM-04-2020-0329","article-title":"The creative minds of extraordinary pastry chefs: An integrated theory of aesthetic expressions \u2013 a portraiture study.","volume":"32","author":"Lee","year":"2020","journal-title":"Intl. J. Contemp. Hosp. Manag."},{"key":"B14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-50042-1","article-title":"The human amygdala disconnecting from auditory cortex preferentially discriminates musical sound of uncertain emotion by altering hemispheric weighting.","volume":"9","author":"Manno","year":"2019","journal-title":"Sci. Rep."},{"key":"B15","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1007\/s11042-018-6002-9","article-title":"Aesthetic art simulation for embroidery style.","volume":"78","author":"Qian","year":"2019","journal-title":"Multimed. Tools Appl."},{"key":"B16","doi-asserted-by":"publisher","first-page":"191","DOI":"10.33310\/2518-7813-2019-66-3-191-195","article-title":"Ukrainian piano concert in the repertoire of the future teacher of music art.","volume":"66","author":"Revenko","year":"2019","journal-title":"Sci. visnyk V O Sukhomlynskyi Mykolaiv Natl. Univ. Pedagogical Sci."},{"key":"B17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00221-020-05789-9","article-title":"Enhanced tactile identification of musical emotion in the deaf.","volume":"238","author":"Sharp","year":"2020","journal-title":"Exp. Brain Res."},{"key":"B18","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1177\/1029864917714302","article-title":"Conceptual blending and musical emotion.","volume":"22","author":"Spitzer","year":"2018","journal-title":"Music. Sci."},{"key":"B19","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1163\/22134913-00002066","article-title":"The feeling of the form: Style as dynamic \u2018Textured\u2019.","volume":"5","author":"Stamatopoulou","year":"2017","journal-title":"Exp. Art Percept."},{"key":"B20","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1037\/pag0000203","article-title":"Music to my ears: Age-related decline in musical and facial emotion recognition.","volume":"32","author":"Sutcliffe","year":"2018","journal-title":"Psychol. Aging"},{"key":"B21","doi-asserted-by":"publisher","first-page":"379","DOI":"10.14704\/nq.2018.16.6.1593","article-title":"Music-induced emotions and musical regulation and emotion improvement based on EEG technology.","volume":"16","author":"Wu","year":"2018","journal-title":"NeuroQuantology"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115887","article-title":"Harshness-aware sentiment mining framework for product review.","volume":"187","author":"Xun","year":"2022","journal-title":"Exp. Syst. Appl."},{"key":"B23","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1525\/mp.2019.37.2.134","article-title":"The effects of timbre on neural responses to musical emotion.","volume":"37","author":"Zhang","year":"2019","journal-title":"Music Percept."}],"container-title":["Frontiers in Psychology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpsyg.2022.974586\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T13:11:41Z","timestamp":1665580301000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fpsyg.2022.974586\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,12]]},"references-count":23,"alternative-id":["10.3389\/fpsyg.2022.974586"],"URL":"https:\/\/doi.org\/10.3389\/fpsyg.2022.974586","relation":{},"ISSN":["1664-1078"],"issn-type":[{"value":"1664-1078","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,12]]},"article-number":"974586"}}