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Indoor Positioning Systems (IPS) appear to offer great potential to study the movement and interaction of people and their working environment, including office workplaces. But little is known about appropriate durations for data collection. In this study, location observations collected from 24 office workers on a 1220 m office floor over a 3-month period, were analysed to determine how many days are required to estimate their typical movement and spatial behaviours. The analysis showed that up to 8 days of data was sufficient to characterise participants' typical daily movement behaviours and 10 days were required to estimate their typical spatial mobility. However, the results also indicate that 5 weeks of data collection are required to gather the necessary 10 days of data from each participant. These findings will help researchers and workplace professionals to understand the capabilities and requirements of IPS when considering their use in indoor work environments.
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http://dx.doi.org/10.1016/j.apergo.2022.103915 | DOI Listing |
Adv Mater
September 2025
School of Electrical Engineering, Korea University, Seoul, 02841, Republic of Korea.
Bifunctional integration of indoor organic photovoltaics (OPVs) and photodetectors (OPDs) faces fundamental challenges because of incompatible interfacial thermodynamics: indoor OPVs require unimpeded charge extraction under low-light conditions (200-1000 lx), whereas OPDs require stringent suppression of noise current. Conventional hole transport layers (HTLs) fail to satisfy these opposing charge-dynamic requirements concurrently with commercial practicality (large-area uniformity, photostability, and cost-effective manufacturability). This study introduces benzene-phosphonic acid (BPA)-a minimalist self-assembled monolayer (SAM)-based HTL with a benzene core and phosphonic acid anchoring group-enabling cost-effective synthesis and excellent ITO interfacial properties such as energy alignment, uniform monolayer, and stability.
View Article and Find Full Text PDFMicromachines (Basel)
July 2025
Key Laboratory of IoT Monitoring and Early Warning, Ministry of Emergency Management, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Despite significant advancements in indoor navigation technology over recent decades, it still faces challenges due to excessive dependency on external infrastructure and unreliable positioning in complex environments. This paper proposes an autonomous localization system that integrates advanced adaptive pedestrian dead reckoning (APDR) and binocular vision, designed to provide a low-cost, high-reliability, and high-precision solution for rescuers. By analyzing the characteristics of measurement data from various body parts, the chest is identified as the optimal placement for sensors.
View Article and Find Full Text PDFSensors (Basel)
August 2025
OASYS Research Group, Computer Engineering, Chiang Mai University, Chiang Mai 50200, Thailand.
Received Signal Strength Indicator (RSSI) prediction is valuable for network planning and optimization as it helps determine the optimal placements of wireless access points and enables better coverage planning. It is also crucial for efficient handover management between cells or access points, reducing dropped connections and improving service quality. Additionally, RSSI prediction supports indoor positioning systems, power management optimization, and cost-efficient network deployment.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of Computer Science & Engineering, Kongju National University, Cheonan 31080, Republic of Korea.
Emerging lighting technology aims to enhance indoor light quality while conserving energy through control systems that integrate with natural light. In related technologies, it is crucial to identify quickly and accurately indoor light environments that are constantly changing due to natural light. Consequently, a large number of sensors must be installed, but installing multiple sensors would cause an increasing data processing load and inconvenience to users' activities.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Faculty of Transport and Traffic Sciences, University of Zagreb, HR-10000 Zagreb, Croatia.
Localization of Unmanned Aerial Vehicles (UAVs) in spaces with a limited availability of Global Navigation Satellite System signals presents a challenge, and one possible solution is the usage of Ultra-Wideband (UWB) transceivers as an aid in the localization process. This paper examines the influence of placing the UWB anchors on the UAVs' localization accuracy in indoor spaces. Different testing scenarios, with variations in the number of anchors and their relative position towards the UAV, were created.
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