An indoor, real‐time location system (RTLS) can benefit both hospitals and patients by improving clinical efficiency through data‐driven optimization of procedures. Bluetooth‐based RTLS systems are cost‐effective but lack accuracy because Bluetooth signal is subject to significant fluctuation. We aim to improve the accuracy of RTLS using the deep learning technique.

中文翻译：

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利用蓝牙低能耗技术和深度学习开发实时室内定位系统，以促进临床应用。

室内实时定位系统（RTLS）通过数据驱动的程序优化来提高临床效率，可以使医院和患者受益。基于蓝牙的RTLS系统虽然具有成本效益，但由于蓝牙信号波动较大，因此准确性较低。我们旨在使用深度学习技术来提高RTLS的准确性。