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Mohammadian N, Didikoglu A, Beach C, Wright P, Mouland JW, Martial FP, Johnson S, van Tongeren M, Brown TM, Lucas RJ, Casson AJ. A Wrist-Worn Internet of Things Sensor Node for Wearable Equivalent Daylight Illuminance Monitoring. IEEE INTERNET OF THINGS JOURNAL 2024; 11:16148-16157. [PMID: 38765485 PMCID: PMC11100858 DOI: 10.1109/jiot.2024.3355330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 11/13/2023] [Accepted: 01/03/2024] [Indexed: 05/22/2024]
Abstract
Light exposure is a vital regulator of physiology and behavior in humans. However, monitoring of light exposure is not included in current wearable Internet of Things (IoT) devices, and only recently have international standards defined [Formula: see text] -optic equivalent daylight illuminance (EDI) measures for how the eye responds to light. This article reports a wearable light sensor node that can be incorporated into the IoT to provide monitoring of EDI exposure in real-world settings. We present the system design, electronic performance testing, and accuracy of EDI measurements when compared to a calibrated spectral source. This includes consideration of the directional response of the sensor, and a comparison of performance when placed on different parts of the body, and a demonstration of practical use over 7 days. Our device operates for 3.5 days between charges, with a sampling period of 30 s. It has 10 channels of measurement, over the range 415-910 nm, balancing accuracy and cost considerations. Measured [Formula: see text]-opic EDI results for 13 devices show a mean absolute error of less than 0.07 log lx, and a minimum between device correlation of 0.99. These findings demonstrate that accurate light sensing is feasible, including at wrist worn locations. We provide an experimental platform for use in future investigations in real-world light exposure monitoring and IoT-based lighting control.
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Affiliation(s)
- Navid Mohammadian
- Henry Royce Institute for Advanced Materials and the Department of Electrical and Electronic EngineeringSchool of EngineeringThe University of ManchesterM13 9PLManchesterU.K.
| | - Altug Didikoglu
- Division of Neuroscience, School of Biological SciencesThe University of ManchesterM13 9PLManchesterU.K.
| | - Christopher Beach
- Henry Royce Institute for Advanced Materials and the Department of Electrical and Electronic EngineeringSchool of EngineeringThe University of ManchesterM13 9PLManchesterU.K.
| | - Paul Wright
- Department of Electrical and Electronic EngineeringSchool of EngineeringThe University of ManchesterM13 9PLManchesterU.K.
| | - Joshua W. Mouland
- Division of Neuroscience, School of Biological SciencesThe University of ManchesterM13 9PLManchesterU.K.
| | - Franck P. Martial
- Division of Neuroscience, School of Biological SciencesThe University of ManchesterM13 9PLManchesterU.K.
| | - Sheena Johnson
- People, Management and Organisation Division, Alliance Manchester Business SchoolThe University of ManchesterM13 9PLManchesterU.K.
| | - Martie van Tongeren
- Division of Population Health, Health Services Research and Primary Care, School of Health SciencesThe University of ManchesterM13 9PLManchesterU.K.
| | - Timothy M. Brown
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical SciencesThe University of ManchesterM13 9PLManchesterU.K.
| | - Robert J. Lucas
- Division of Neuroscience, School of Biological SciencesThe University of ManchesterM13 9PLManchesterU.K.
| | - Alexander J. Casson
- Henry Royce Institute for Advanced Materials and the Department of Electrical and Electronic EngineeringSchool of EngineeringThe University of ManchesterM13 9PLManchesterU.K.
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Willis EA, Hales D, Smith FT, Burney R, El-Zaatari HM, Rzepka MC, Amft O, Barr R, Evenson KR, Kosorok MR, Ward DS. Feasibility and Acceptability of Wearable Sensor Placement for Measuring Screen Time of Children. TRANSLATIONAL JOURNAL OF THE AMERICAN COLLEGE OF SPORTS MEDICINE 2022; 7:e000214. [PMID: 36420110 PMCID: PMC9677178 DOI: 10.1249/tjx.0000000000000214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Introduction/Purpose Wearables that include a color light sensor are a promising measure of electronic screen use in adults. However, to extend this approach to children, we need to understand feasibility of wear placement. The purpose of this study was to examine parent perceptions of children's acceptability of different sensor placements and feasibility of free-living 3- to 7-day wear protocols. Methods This study was conducted in three phases. In phase 1, caregivers (n=161) of 3- to 8-year-old children completed an online survey to rate aspects of fitting and likelihood of wear for seven methods (headband, eyeglasses, skin adhesive patch, shirt clip/badge, mask, necklace, and vest). In phase 2, children (n=31) were recruited to wear one of the top five prototypes for three days (n=6 per method). In phase 3, children (n=23) were recruited to wear prototypes of the top three prototypes from phase 2 (n=8 per method) for 7 days. In phases 2 and 3, parents completed wear logs and surveys about their experiences. Parents scored each wearable on three domains (ease of use, likelihood of wear, and child enjoyment). Scores were averaged to compute an everyday "usability" score (0, worst, to 200, best). Results Phase 1 results suggested that the headband, eyeglasses, patch, clip/badge, and vest had the best potential for long-term wear. In phase 2, time spent wearing prototypes and usability scores were highest for the eyeglasses (10.4 hours/day, score=155.4), clip/badge (9.8 hours/day, score=145.8), and vest (7.1 hours/day, score=141.7). In phase 3, wearing time and usability scores were higher for the clip/badge (9.4 hours/day, score=169.6) and eyeglasses (6.5 hours/day, score=145.3) compared to the vest (4.8 hours/day, score=112.5). Conclusion Results indicate that wearable sensors clipped to a child's shirt or embedded into eyeglasses are feasible and acceptable wear methods in free-living settings. The next step is to asses the quality, validity, and reliability of data captured using these wear methods.
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Affiliation(s)
- Erik A. Willis
- Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
- Department of Nutrition, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Derek Hales
- Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
- Department of Nutrition, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Falon T. Smith
- Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Regan Burney
- Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Helal M. El-Zaatari
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Michelle C. Rzepka
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Oliver Amft
- Chair of Digital Health, Friedrich Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
- Intelligent Embedded Systems Laboratory, Albert Ludwig University of Freiburg, Germany
- Hahn-Schickard, Freiburg, Germany
| | - Rachel Barr
- Department of Psychology, Georgetown University, Washington, DC
| | - Kelly R. Evenson
- Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
- Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Michael R. Kosorok
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Dianne S. Ward
- Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
- Department of Nutrition, University of North Carolina-Chapel Hill, Chapel Hill, NC
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Ray TR, Choi J, Bandodkar AJ, Krishnan S, Gutruf P, Tian L, Ghaffari R, Rogers JA. Bio-Integrated Wearable Systems: A Comprehensive Review. Chem Rev 2019; 119:5461-5533. [PMID: 30689360 DOI: 10.1021/acs.chemrev.8b00573] [Citation(s) in RCA: 413] [Impact Index Per Article: 82.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Bio-integrated wearable systems can measure a broad range of biophysical, biochemical, and environmental signals to provide critical insights into overall health status and to quantify human performance. Recent advances in material science, chemical analysis techniques, device designs, and assembly methods form the foundations for a uniquely differentiated type of wearable technology, characterized by noninvasive, intimate integration with the soft, curved, time-dynamic surfaces of the body. This review summarizes the latest advances in this emerging field of "bio-integrated" technologies in a comprehensive manner that connects fundamental developments in chemistry, material science, and engineering with sensing technologies that have the potential for widespread deployment and societal benefit in human health care. An introduction to the chemistries and materials for the active components of these systems contextualizes essential design considerations for sensors and associated platforms that appear in following sections. The subsequent content highlights the most advanced biosensors, classified according to their ability to capture biophysical, biochemical, and environmental information. Additional sections feature schemes for electrically powering these sensors and strategies for achieving fully integrated, wireless systems. The review concludes with an overview of key remaining challenges and a summary of opportunities where advances in materials chemistry will be critically important for continued progress.
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Affiliation(s)
- Tyler R Ray
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Jungil Choi
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Amay J Bandodkar
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Siddharth Krishnan
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - Philipp Gutruf
- Department of Biomedical Engineering University of Arizona Tucson , Arizona 85721 , United States
| | - Limei Tian
- Department of Biomedical Engineering , Texas A&M University , College Station , Texas 77843 , United States
| | - Roozbeh Ghaffari
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
| | - John A Rogers
- Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States
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