TY - JOUR
T1 - Correction to
T2 - Adaptive 1-dimensional time invariant learning for inertial sensor-based gait authentication (Neural Computing and Applications, (2023), 35, 3, (2737-2753), 10.1007/s00521-022-07741-0)
AU - Permatasari, Jessica
AU - Connie, Tee
AU - Ong, Thian Song
AU - Teoh, Andrew Beng Jin
N1 - Publisher Copyright:
© Springer-Verlag London Ltd., part of Springer Nature 2022.
PY - 2023/6
Y1 - 2023/6
N2 - Unfortunately, the article has been published with few errors in the online publication of the article. The corrections are provided below: 1. In the original version of this article, the given and family names of Tee Connie were incorrectly structured. The name was displayed correctly in all versions at the time of publication. 2. The correct name of the fourth author should read as Andrew Beng Jin Teoh. 3. The reference number in the Introduction sections are corrected as follows: How an individual walks, combined with unique postures, has become an assertion that gait is unique [1, 2]. Many studies have shown that humans’ gait has the potential to be robust biometrics [3, 4].
AB - Unfortunately, the article has been published with few errors in the online publication of the article. The corrections are provided below: 1. In the original version of this article, the given and family names of Tee Connie were incorrectly structured. The name was displayed correctly in all versions at the time of publication. 2. The correct name of the fourth author should read as Andrew Beng Jin Teoh. 3. The reference number in the Introduction sections are corrected as follows: How an individual walks, combined with unique postures, has become an assertion that gait is unique [1, 2]. Many studies have shown that humans’ gait has the potential to be robust biometrics [3, 4].
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U2 - 10.1007/s00521-022-07907-w
DO - 10.1007/s00521-022-07907-w
M3 - Comment/debate
AN - SCOPUS:85141690629
SN - 0941-0643
VL - 35
SP - 12233
JO - Neural Computing and Applications
JF - Neural Computing and Applications
IS - 16
ER -