Seismic target recognition based on parallel recurrent neural network for unattended ground sensor systems
T Xu, N Wang, X Xu - IEEE Access, 2019 - ieeexplore.ieee.org
One of the most challenging problems in unattended ground sensor (UGS) systems is to
distinguish human footstep signals from noise sources. As the distance between the sensor …
distinguish human footstep signals from noise sources. As the distance between the sensor …
Study of UGS target recognition method based on recurrent neural network and peak value region extraction
W Zhao, X Li, N Wang, T Xu - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
In order to improve the accuracy of Unattended Ground Sensors (UGS) for human activity
recognition, this paper proposes a target recognition method based on Recurrent Neural …
recognition, this paper proposes a target recognition method based on Recurrent Neural …
Moving Target Recognition in Noisy Environment Based on Sound Seismic Fusion Signal and PSO-SVM
J Song, N Wang, K Xing - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Recognition of moving targets (pedestrian and vehicle) by ground seismic signal has been a
hot research topic in recent years. The methods proposed in previous studies mainly focus …
hot research topic in recent years. The methods proposed in previous studies mainly focus …
Uma abordagem de aprendizagem profunda para identificação de pessoas através do som dos passos
LR Costa - 2018 - repositorio.uft.edu.br
Com o advento da Computaçao Ubıqua, a tecnologia passou a fazer parte do cotidiano do
ser humano. Deste modo, na construçao de ambientes “inteligentes”, sao empregados …
ser humano. Deste modo, na construçao de ambientes “inteligentes”, sao empregados …