{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:54:06Z","timestamp":1781546046416,"version":"3.54.5"},"reference-count":51,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"the National Key R&D Program of China","award":["No. 2024YFB2808800 & 2024YFB2808803"],"award-info":[{"award-number":["No. 2024YFB2808800 & 2024YFB2808803"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62472244"],"award-info":[{"award-number":["No. 62472244"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"he foundation of National Key Laboratory of Human Factors Engineering","award":["No. HFNKL2024W06"],"award-info":[{"award-number":["No. HFNKL2024W06"]}]},{"name":"the Tsinghua University Initiative Scientific Research Program","award":["No.20257020004"],"award-info":[{"award-number":["No.20257020004"]}]},{"name":"Qinghai University Research Ability Enhancement Project","award":["Grant No. 2025KTSA05"],"award-info":[{"award-number":["Grant No. 2025KTSA05"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2026,6,15]]},"abstract":"<jats:p>\n                    Portable physiological monitoring is essential for early detection and management of cardiovascular disease, but current methods often require specialized equipment that limits accessibility or imposes impractical postures that patients cannot maintain. Video-based photoplethysmography on smartphones offers a convenient non-invasive alternative, yet it still faces reliability challenges caused by motion artifacts, lighting variations, and single-view constraints. Few studies have demonstrated that this technology can be reliably applied to physiological monitoring of cardiovascular patients, and no widely used open datasets exist for researchers to examine its cross-device accuracy. To address these limitations, we introduce the M\n                    <jats:sup>3<\/jats:sup>\n                    PD dataset\u2014the first publicly available dual-view mobile photoplethysmography dataset\u2014comprising synchronized facial and fingertip videos captured simultaneously via front and rear smartphone cameras from 60 participants (including 47 cardiovascular patients). Building on this dual-view setting, we further propose the F\n                    <jats:sup>3<\/jats:sup>\n                    Mamba, which fuses the facial and fingertip views through Mamba-based temporal modeling. The model reduces heart-rate error by 21.9-30.2% over existing single-view baselines while showing enhanced robustness across challenging real-world scenarios,\n                    <jats:italic toggle=\"yes\">and further achieves a 4.4-16.4% MAE reduction over the best standard dual-view fusion baselines.<\/jats:italic>\n                    Data and code are released at https:\/\/github.com\/Health-HCI-Group\/F3Mamba.\n                  <\/jats:p>","DOI":"10.1145\/3810228","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:06:41Z","timestamp":1781543201000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["M\n                    <sup>3<\/sup>\n                    PD Dataset: Enabling Dual-view Photoplethysmography on Smartphones in Lab and Clinical Settings"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5388-4552","authenticated-orcid":false,"given":"Jiankai","family":"Tang","sequence":"first","affiliation":[{"name":"Tsinighua University, Computer Science and Technology Department, Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1355-131X","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9787-4312","authenticated-orcid":false,"given":"Jia","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Anzhen Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4249-8893","authenticated-orcid":false,"given":"Yuntao","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China and School of Computer Technology and Application, Qinghai University, Xining, Qinghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8895-0902","authenticated-orcid":false,"given":"Yiru","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6309-6626","authenticated-orcid":false,"given":"Mingyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3469-0786","authenticated-orcid":false,"given":"Kegang","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4221-0044","authenticated-orcid":false,"given":"Yuming","family":"Hao","sequence":"additional","affiliation":[{"name":"Beijing Anzhen Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3168-6282","authenticated-orcid":false,"given":"Bolin","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Anzhen Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0680-4133","authenticated-orcid":false,"given":"Haiyang","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Anzhen Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9502-4472","authenticated-orcid":false,"given":"Xingyao","family":"Wang","sequence":"additional","affiliation":[{"name":"Agency for Science, Technology and Research, Innovis, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2273-6927","authenticated-orcid":false,"given":"Yuanchun","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Computer science and Technology, Tsinghua University, Beijing, China and Qinghai University, Xining, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4803-9855","authenticated-orcid":false,"given":"Sicong","family":"Qian","sequence":"additional","affiliation":[{"name":"Beijing Anzhen Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1109\/JBHI.2021.3068658","article-title":"Automated cardiac pulse cycle analysis from photoplethysmogram (PPG) signals generated from fingertip videos captured using a smartphone to measure blood hemoglobin levels","volume":"25","author":"Aziz Md Hasanul","year":"2021","unstructured":"Md Hasanul Aziz, Md Kamrul Hasan, Arafat Mahmood, Richard R Love, and Sheikh Iqbal Ahamed. 2021. 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