{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T17:33:03Z","timestamp":1780421583123,"version":"3.54.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684000","type":"print"},{"value":"9781643684017","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,29]]},"abstract":"<jats:p>In this study, a new method for detecting emotions using Blood Volume Pulse (BVP) signals and machine learning was presented. The BVP of 30 subjects from the publicly available CASE dataset was pre-processed, and 39 features were extracted from various emotional states, such as amusing, boring, relaxing, and scary. The features were categorized into time, frequency, and time-frequency domains and used to build an emotion detection model with XGBoost. The model achieved the highest classification accuracy of 71.88% using the top 10 features. The most significant features of the model were computed from time (5 features), time-frequency (4 features), and frequency (1 feature) domains. The skewness calculated from the time-frequency representation of the BVP was ranked highest and played a crucial role in the classification. Our study suggests the potential of using BVP recorded from wearable devices to detect emotions in healthcare applications.<\/jats:p>","DOI":"10.3233\/shti230422","type":"book-chapter","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:51:44Z","timestamp":1688111504000},"source":"Crossref","is-referenced-by-count":4,"title":["Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2990-5474","authenticated-orcid":false,"given":"Lokesh Naidu","family":"Lebaka","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Sriram Kumar P","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Praveen Kumar","family":"Govarthan","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priya","family":"Rani","sequence":"additional","affiliation":[{"name":"Electrical and Biomedical Engineering, School of Engineering, RMIT University, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nagarajan","family":"Ganapathy","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jac Fredo","family":"Agastinose Ronickom","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Healthcare Transformation with Informatics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:52:06Z","timestamp":1688111526000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230422"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"ISBN":["9781643684000","9781643684017"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230422","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}