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ABSTRACT Introduction Firearm‐related suicide rates are notably high among workers such as police officers and farmers. One risk factor is occupational access to firearms, but other occupational characteristics, such as job strain, are less understood.
Victor A. Soupene +5 more
wiley +1 more source
Robust Magnetic Fingerprint Positioning in Complex Indoor Environments Using Res-T-LSTM. [PDF]
Guo K.
europepmc +1 more source
ABSTRACT To enhance clinicians' understanding of Sifrim‐Hitz‐Weiss syndrome (SIHIWES), this study investigated the clinical phenotypes, genetic characteristics, and response to growth hormone therapy in a patient. A case of a patient with global developmental delay and distinctive facial features is presented.
Jianmei Zhang +6 more
wiley +1 more source
Customer Context Analysis in Shopping Malls: A Method Combining Semantic Behavior and Indoor Positioning Using a Smartphone. [PDF]
Tian Y, Gu Y, Lu Q, Kamijo S.
europepmc +1 more source
Step Length Estimation for Blind Walkers. [PDF]
Elyasi F, Manduchi R.
europepmc +1 more source
An Improved Step Detection Algorithm for Indoor Navigation Problems with Pre-Determined Types of Activity. [PDF]
Zieliński M, Chybicki A, Borsuk A.
europepmc +1 more source
A Wi-Fi/PDR Fusion Localization Method Based on Genetic Algorithm Global Optimization. [PDF]
Zhang L +5 more
europepmc +1 more source
Autonomous Driving of Trackless Transport Vehicles: A Case Study in Underground Mines. [PDF]
Sun Y, Zhang L, Liu J, Xu Y, Li X.
europepmc +1 more source
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PDRNet: A Deep-Learning Pedestrian Dead Reckoning Framework
IEEE Sensors Journal, 2022Pedestrian dead reckoning is a well-known approach for indoor navigation. There, the smartphone’s inertial sensors readings are used to determine the user position by utilizing empirical or bio-mechanical approaches and by direct integration. In this paper, we propose PDRNet, a deep-learning pedestrian dead reckoning framework, for user positioning. It
Omri Asraf, Firas Shama, Itzik Klein
semanticscholar +4 more sources

