TY - GEN
T1 - Optical Fiber Pavement Blind Guiding Method Based on Distributed Optical Fiber Vibration Sensing
AU - Liang, Yaolang
AU - Chang, Haoze
AU - Ma, Lin
AU - Qin, Danyang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Nowadays, blind guiding service is highly required by visually impaired people for a normal outdoor life. However, the tactile pavements fail to work for blind guiding when they are covered or blocked, and even become barriers for normal people who are riding bicycles, sliding the trolley cases and so on. Recently, distributed optical fiber vibration sensing (DOFVS) is widely used for electric fence and human activity recognition. In this paper, to our best knowledge, we first propose the optical fiber pavement to replace the tactile pavement for outdoor blind guiding, and provide the positioning method based on phase-sensitive optical time domain reflectometer (Φ -OTDR). By extracting critical gait features from the output intensity signal, we succeed to make accurate classification between the blind pedestrians and the normal ones. Based on signal autocorrelation analysis in both time and space domains, the locations of each target person on the optical fiber pavement are accurately estimated. The experiment results show that our proposed method achieves highly accurate recognition of blind pedestrians and provides their localization estimations accurately.
AB - Nowadays, blind guiding service is highly required by visually impaired people for a normal outdoor life. However, the tactile pavements fail to work for blind guiding when they are covered or blocked, and even become barriers for normal people who are riding bicycles, sliding the trolley cases and so on. Recently, distributed optical fiber vibration sensing (DOFVS) is widely used for electric fence and human activity recognition. In this paper, to our best knowledge, we first propose the optical fiber pavement to replace the tactile pavement for outdoor blind guiding, and provide the positioning method based on phase-sensitive optical time domain reflectometer (Φ -OTDR). By extracting critical gait features from the output intensity signal, we succeed to make accurate classification between the blind pedestrians and the normal ones. Based on signal autocorrelation analysis in both time and space domains, the locations of each target person on the optical fiber pavement are accurately estimated. The experiment results show that our proposed method achieves highly accurate recognition of blind pedestrians and provides their localization estimations accurately.
KW - Blind guiding
KW - Correlation
KW - Feature extraction
KW - Positioning
KW - Φ-OTDR
UR - https://www.scopus.com/pages/publications/85187353682
U2 - 10.1109/GLOBECOM54140.2023.10437520
DO - 10.1109/GLOBECOM54140.2023.10437520
M3 - 会议稿件
AN - SCOPUS:85187353682
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 6481
EP - 6486
BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023
Y2 - 4 December 2023 through 8 December 2023
ER -