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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Updated: May 17, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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使用BLE信标进行占用监控:智能蓝牙虚拟门系统.

Nasrettin Koksal1, AbdulRahman Ghannoum2, William Melek1

  • 1Mechanical and Mechatronics Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个智能蓝牙虚拟门系统用于占用监控. 它使用蓝牙低能耗信号和机器学习来准确的室内/室外跟踪,不需要地图.

关键词:
这就是BLE BLE BLE这就是RSSI.深度学习是一种深度学习.混合学习是混合学习.神经网络的神经网络的神经网络占用情况监测 占用情况监测

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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相关实验视频

Last Updated: May 17, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 人工智能的人工智能

背景情况:

  • 占用监控 (OM) 对智能环境至关重要,但在电力消耗和成本方面面临挑战.
  • 蓝牙低能耗 (BLE) 为可穿戴设备通信提供了节能和成本高效的解决方案.
  • 将BLE接收信号强度指标 (RSSI) 与机器学习 (ML) 集成,可以实现AI增强的OM.

研究的目的:

  • 提出一个智能蓝牙虚拟门 (IBVD) 系统用于室内/室外占用监控.
  • 通过使用BLE RSSI信号,利用ML算法进行智能OM.
  • 开发一个可靠的跟踪系统,不需要地图信息.

主要方法:

  • 乘客使用的BLE设备和门口的两个BLE信标.
  • 采用ML算法来检测来自BLE RSSI信号的模式,用于OM.
  • 在各种ML模型中评估系统性能.

主要成果:

  • 在所有测试的ML模型中实现了96.6%至97.3%的分类准确性.
  • 展示了一个高度可靠的室内/室外跟踪系统.
  • 展示了一个在不需要地图数据的情况下运行的系统.

结论:

  • IBVD系统为占用监控和个人跟踪提供了准确可靠的解决方案.
  • 使用BLE RSSI和ML的AI增强方法提供了一个成本和能效的替代方案.
  • 这项技术在家庭自动化,智能办公室和应急管理等领域具有很大的应用潜力.