A Wrist-Worn Internet of Things Sensor Node for Wearable Equivalent Daylight Illuminance Monitoring
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 \alpha -optic equivalent daylight illuminance (EDI) measures...
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| Veröffentlicht in: | IEEE internet of things journal 2024-05, Vol.11 (9), p.16148-16157 |
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| creator | Mohammadian, Navid Didikoglu, Altug Beach, Christopher Wright, Paul Mouland, Joshua W. Martial, Franck P. Johnson, Sheena van Tongeren, Martie Brown, Timothy M. Lucas, Robert J. Casson, Alexander J. |
| description | 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 \alpha -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 \alpha -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. |
| doi_str_mv | 10.1109/JIOT.2024.3355330 |
| format | Article |
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However, monitoring of light exposure is not included in current wearable Internet of Things (IoT) devices, and only recently have international standards defined <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula> -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 <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-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.]]></description><identifier>ISSN: 2327-4662</identifier><identifier>EISSN: 2327-4662</identifier><identifier>DOI: 10.1109/JIOT.2024.3355330</identifier><identifier>PMID: 38765485</identifier><identifier>CODEN: IITJAU</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Biomedical monitoring ; Costs ; Daylight ; Equivalence ; Exposure ; Illuminance ; Internet of Things ; Light ; Light sensing ; low-power electronics ; Monitoring ; Performance evaluation ; Sensors ; Systems design ; Temperature sensors ; wearable devices ; Wearable technology ; Wrist</subject><ispartof>IEEE internet of things journal, 2024-05, Vol.11 (9), p.16148-16157</ispartof><rights>2327-4662 © 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. 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However, monitoring of light exposure is not included in current wearable Internet of Things (IoT) devices, and only recently have international standards defined <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula> -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 <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-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.]]></description><subject>Biomedical monitoring</subject><subject>Costs</subject><subject>Daylight</subject><subject>Equivalence</subject><subject>Exposure</subject><subject>Illuminance</subject><subject>Internet of Things</subject><subject>Light</subject><subject>Light sensing</subject><subject>low-power electronics</subject><subject>Monitoring</subject><subject>Performance evaluation</subject><subject>Sensors</subject><subject>Systems design</subject><subject>Temperature sensors</subject><subject>wearable devices</subject><subject>Wearable technology</subject><subject>Wrist</subject><issn>2327-4662</issn><issn>2327-4662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkU1rGzEQhkVpaUKaHxAoRdBLL-voW7unEpK0dUibQx18FFrtrK2wlhJpN5B_Xxm7we1JA3rm1YwehM4omVFKmvOb-d1ixggTM86l5Jy8QceMM10Jpdjbg_oIneb8QAgpbZI26j064rVWUtTyGLkLvEw-j9UypoDnYYQUYMSxx4u1D6uMf0PIMeFfsQPcl2IJNtl2AHz9NPlnO0AY8ZV9GfxqPeL5MEwbH2xwgH_G4MeYSsgH9K63Q4bT_XmC7r9dLy5_VLd33-eXF7eVE6IZq55yqvrO8rYhnBHZ1KxtnNXC6VZ2rrbcdT0FTmzD2rpVFBjTQnKldF9rrvgJ-rrLfZzaDXSujJbsYB6T39j0YqL15t-b4NdmFZ8NLT9DalmXhC_7hBSfJsij2fjsYBhsgDhlw4nURFNdbx_7_B_6EKcUyn6FEqqhtDgpFN1RLsWcE_Sv01BithrNVqPZajR7jaXn0-Earx1_pRXg4w7wAHAQKAhttOB_AKi_oWA</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Mohammadian, Navid</creator><creator>Didikoglu, Altug</creator><creator>Beach, Christopher</creator><creator>Wright, Paul</creator><creator>Mouland, Joshua W.</creator><creator>Martial, Franck P.</creator><creator>Johnson, Sheena</creator><creator>van Tongeren, Martie</creator><creator>Brown, Timothy M.</creator><creator>Lucas, Robert J.</creator><creator>Casson, Alexander J.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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However, monitoring of light exposure is not included in current wearable Internet of Things (IoT) devices, and only recently have international standards defined <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula> -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 <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-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.]]></abstract><cop>United States</cop><pub>IEEE</pub><pmid>38765485</pmid><doi>10.1109/JIOT.2024.3355330</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5582-6956</orcidid><orcidid>https://orcid.org/0000-0002-4314-0754</orcidid><orcidid>https://orcid.org/0000-0002-5625-4750</orcidid><orcidid>https://orcid.org/0000-0003-4309-3668</orcidid><orcidid>https://orcid.org/0000-0002-1088-8029</orcidid><orcidid>https://orcid.org/0000-0002-1737-1321</orcidid><orcidid>https://orcid.org/0000-0003-4964-3173</orcidid><orcidid>https://orcid.org/0000-0002-6687-2333</orcidid><orcidid>https://orcid.org/0000-0003-1408-1190</orcidid><oa>free_for_read</oa></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | Biomedical monitoring Costs Daylight Equivalence Exposure Illuminance Internet of Things Light Light sensing low-power electronics Monitoring Performance evaluation Sensors Systems design Temperature sensors wearable devices Wearable technology Wrist |
| title | A Wrist-Worn Internet of Things Sensor Node for Wearable Equivalent Daylight Illuminance Monitoring |
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