Let home nursing assistant robots see your heart rate
Purpose - This paper aims to design a vision-based non-contact real-time accurate heart rate (HR) measurement framework for home nursing assistant. Design/methodology/approach - The study applied Second-Order Blind Signal Identification (SOBI) algorithm to extract remote HR signal and analyzed it wi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2018-12-01
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| Series: | International Journal of Crowd Science |
| Subjects: | |
| Online Access: | https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-09-2018-0023 |
| _version_ | 1811249438868373504 |
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| author | Han Wu Tao Wang Tuo Dai Xiaoyu Wang Yuanzhen Lin Yizhou Wang |
| author_facet | Han Wu Tao Wang Tuo Dai Xiaoyu Wang Yuanzhen Lin Yizhou Wang |
| author_sort | Han Wu |
| collection | DOAJ |
| description | Purpose - This paper aims to design a vision-based non-contact real-time accurate heart rate (HR) measurement framework for home nursing assistant. Design/methodology/approach - The study applied Second-Order Blind Signal Identification (SOBI) algorithm to extract remote HR signal and analyzed it with Fast Fourier Transform (FFT). Multiple regions of interest are chosen and analyzed to obtain a more accurate result. Findings - An accurate non-contact hear rate (HR) measurement framework is proposed and proved to be efficient. Originality/value - The contributions of this HR measurement framework are as follows: accurate measurement of HR, real-time performance, robust under various scenes such as conversation, lightweight computation which is suitable and necessary for home nursing assistance. This framework is designed to be flexibly used in various real-life scenes such as domestic health assistance and affectively intelligent agents and is proved to be robust under such scenes. |
| first_indexed | 2024-04-12T15:46:35Z |
| format | Article |
| id | doaj.art-869c5436e2054730a3db9526af63189d |
| institution | Directory Open Access Journal |
| issn | 2398-7294 |
| language | English |
| last_indexed | 2024-04-12T15:46:35Z |
| publishDate | 2018-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | International Journal of Crowd Science |
| spelling | doaj.art-869c5436e2054730a3db9526af63189d2022-12-22T03:26:39ZengTsinghua University PressInternational Journal of Crowd Science2398-72942018-12-012319821110.1108/IJCS-09-2018-0023619248Let home nursing assistant robots see your heart rateHan Wu0Tao Wang1Tuo Dai2Xiaoyu Wang3Yuanzhen Lin4Yizhou Wang5School of Electronic Engineering and Computer Science, Peking University, Beijing, ChinaSchool of Electronic Engineering and Computer Science, Peking University, Beijing, ChinaSchool of Electronic Engineering and Computer Science, Peking University, Beijing, ChinaSchool of Electronic Engineering and Computer Science, Peking University, Beijing, ChinaSchool of Electronic Engineering and Computer Science, Peking University, Beijing, ChinaSchool of Electronic Engineering and Computer Science, Peking University, Beijing, ChinaPurpose - This paper aims to design a vision-based non-contact real-time accurate heart rate (HR) measurement framework for home nursing assistant. Design/methodology/approach - The study applied Second-Order Blind Signal Identification (SOBI) algorithm to extract remote HR signal and analyzed it with Fast Fourier Transform (FFT). Multiple regions of interest are chosen and analyzed to obtain a more accurate result. Findings - An accurate non-contact hear rate (HR) measurement framework is proposed and proved to be efficient. Originality/value - The contributions of this HR measurement framework are as follows: accurate measurement of HR, real-time performance, robust under various scenes such as conversation, lightweight computation which is suitable and necessary for home nursing assistance. This framework is designed to be flexibly used in various real-life scenes such as domestic health assistance and affectively intelligent agents and is proved to be robust under such scenes.https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-09-2018-0023Crowd AICrowdsourcing human-robot interaction |
| spellingShingle | Han Wu Tao Wang Tuo Dai Xiaoyu Wang Yuanzhen Lin Yizhou Wang Let home nursing assistant robots see your heart rate International Journal of Crowd Science Crowd AI Crowdsourcing human-robot interaction |
| title | Let home nursing assistant robots see your heart rate |
| title_full | Let home nursing assistant robots see your heart rate |
| title_fullStr | Let home nursing assistant robots see your heart rate |
| title_full_unstemmed | Let home nursing assistant robots see your heart rate |
| title_short | Let home nursing assistant robots see your heart rate |
| title_sort | let home nursing assistant robots see your heart rate |
| topic | Crowd AI Crowdsourcing human-robot interaction |
| url | https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-09-2018-0023 |
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