Published on 17.03.17 in Vol 6, No 3 (2017): March
Works citing "Biometrics and Policing: A Protocol for Multichannel Sensor Data Collection and Exploratory Analysis of Contextualized Psychophysiological Response During Law Enforcement Operations"
According to Crossref, the following articles are citing this article (DOI 10.2196/resprot.7499):
(note that this is only a small subset of citations)
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Leonard NR, Casarjian B, Fletcher RR, Prata C, Sherpa D, Kelemen A, Rajan S, Salaam R, Cleland CM, Gwadz MV. Theoretically-Based Emotion Regulation Strategies Using a Mobile App and Wearable Sensor Among Homeless Adolescent Mothers: Acceptability and Feasibility Study. JMIR Pediatrics and Parenting 2018;1(1):e1
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Wilbur RE, Griffin JS, Sorensen M, Furberg RD. Establishing Digital Biomarkers for Occupational Health Assessment in Commercial Salmon Fishermen: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(12):e10215
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Richardson NJ, Barrick K, Strom KJ. Is policing safer today?. Criminology & Public Policy 2019;18(1):37
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Aranda JAS, Dias LPS, Barbosa JLV, de Carvalho JV, Tavares JEDR, Tavares MC. Collection and analysis of physiological data in smart environments: a systematic mapping. Journal of Ambient Intelligence and Humanized Computing 2020;11(7):2883
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Coffman DL, Cai X, Li R, Leonard NR. Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data. JMIR Biomedical Engineering 2020;5(1):e17106
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Aranda JAS, Bavaresco RS, da Silva Machado R, de Carvalho JV, Corrêa AY, Barbosa JLV. A multi-agent system for optimizing physiological collection based on adaptive strategies. Smart Health 2021;19:100149
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Aranda JAS, Bavaresco RS, de Carvalho JV, Yamin AC, Tavares MC, Barbosa JLV. A computational model for adaptive recording of vital signs through context histories. Journal of Ambient Intelligence and Humanized Computing 2023;14(12):16047
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Winz M, Söderström O, Rizzotti-Kaddouri A, Visinand S, Ourednik A, Küster J, Bailey B. Stress and emotional arousal in urban environments: A biosocial study with persons having experienced a first-episode of psychosis and persons at risk. Health & Place 2022;75:102762
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Jiang F, Tao Z, Zhang Y, Xie X, Bao Y, Hu Y, Ding J, Wu C. Machine learning combined with single-cell analysis reveals predictive capacity and immunotherapy response of T cell exhaustion-associated lncRNAs in uterine corpus endometrial carcinoma. Cellular Signalling 2024;117:111077
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