Crowdsensing-based WiFi Indoor Localization using Feed-forward Multilayer Perceptron Regressor

Barnwal, Simran; Peng, Wei

doi:10.1109/iccids.2019.8862117

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…Pedestrian dead reckoning (PDR) based on IMU sensors, including gyroscopes, accelerometers, and magnetometers, has been a research focus in recent years. Compared with ultra wideband (UWB) [ 6 ], wireless fidelity (WIFI) [ 7 , 8 ], Bluetooth [ 9 ], and other positioning technologies, IMU-based PDR technology does not require the addition of any further infrastructure in indoor environments. It is a self-contained positioning method, which can reduce the costs of constructing and maintaining infrastructure, and has a wider range of applications.…”

Section: Introductionmentioning

confidence: 99%

Accurate Stride-Length Estimation Based on LT-StrideNet for Pedestrian Dead Reckoning Using a Shank-Mounted Sensor

Zeng

Wang

et al. 2023

Micromachines

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Pedestrian dead reckoning (PDR) is a self-contained positioning technology and has been a significant research topic in recent years. Pedestrian-stride-length estimation is the core part of the PDR system and directly affects the performance of the PDR. The current stride-length-estimation method is difficult to adapt to changes in pedestrian walking speed, which leads to a rapid increase in the error of the PDR. In this paper, a new deep-learning model based on long short-term memory (LSTM) and Transformer, LT-StrideNet, is proposed to estimate pedestrian-stride length. Next, a shank-mounted PDR framework is built based on the proposed stride-length-estimation method. In the PDR framework, the detection of pedestrian stride is achieved by peak detection with a dynamic threshold. An extended Kalman filter (EKF) model is adopted to fuse the gyroscope, accelerometer, and magnetometer. The experimental results show that the proposed stride-length-estimation method can effectively adapt to changes in pedestrian walking speed, and our PDR framework has excellent positioning performance.

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