A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation
By Wenjin Wang, Sander Stuijk, G. de Haan. IEEE Transactions on Biomedical Engineering, 2016
349 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Surgery
View Paper: https://www.semanticscholar.org/paper/658eaf2acf7081c2ccee14b97592cdc95f28f432
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Zitong Yu
- Guoying Zhao
- Xiaobai Li
- Daniel J. McDuff
- Xuesong Niu
- Weixuan 'Vincent' Chen
- Shiguang Shan
- Xilin Chen
In Surgery
Citations in the corpus
- Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement (2019, background): “, chrominancebased rPPG (CHROM) [4], projection plane orthogonal to the skin tone (POS) [35], and spatial subspace rotation [36, 34, 13].”
- Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks (2019, background): “, chrominance-based rPPG (CHROM) [4], projection plane orthogonal to the skin tone (POS) [26], and spatial subspace rotation [25].”
- DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks (2018, background): “More advanced signal decomposition methods have resulted in improved heart rate measurement, even in the presence of large head motions and lighting variation [38, 39, 16, 34].”
- Visual Heart Rate Estimation with Convolutional Neural Network (2018, methodology): “The network yields state-of-the-art results on three publicly available datasets against three baseline methods [4, 8, 23] under a standardized protocol.”
- RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation (2019, methodology): “[24] Webcam R,G,B Color space transformation based FFT on spatial subspace of skin-pixels”
- Algorithmic Principles of Remote PPG (2017, methodology): “The recently developed 2SR method [6] creates a subjectdependent skin-color space and tracks the hue change over time to measure the pulse, where the instantaneous hue is determined based on the statistical distribution of the skin pixels in the image domain.”