title: Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis.
abstract: This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals.
authors.forename: Il-Hyung
authors.initials: IH
authors.lastname: Shin
authors.forename: Jaepyeong
authors.initials: J
authors.lastname: Cha
authors.forename: Gyeong Woo
authors.initials: GW
authors.lastname: Cheon
authors.forename: Choonghee
authors.initials: C
authors.lastname: Lee
authors.forename: Seung Yup
authors.initials: SY
authors.lastname: Lee
authors.forename: Hyung-Jin
authors.initials: HJ
authors.lastname: Yoon
authors.forename: Hee Chan
authors.initials: HC
authors.lastname: Kim
mesh_terms: D000293:Adolescent; D001331:Automation; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D009146:Music; D009147:Music Therapy; D017156:Photoplethysmography / Q000379:methods*; D012372:ROC Curve; D013315:Stress, Psychological / Q000628:therapy*; D014584:User-Computer Interface; D014630:Vagus Nerve / Q000502:physiology