17.1.3.6.5 Footstep Analysis

Vera-Rodríguez, R.[Rubén], Mason, J.S.D., Fierrez, J., Ortega-Garcia, J.[Javier],
Analysis of spatial domain information for footstep recognition,
IET-CV(5), No. 6, 2011, pp. 380-388.
DOI Link 1112
BibRef
Earlier:
Analysis of Time Domain Information for Footstep Recognition,
ISVC10(I: 489-498).
Springer DOI 1011
BibRef

Vera-Rodríguez, R.[Rubén], Mason, J.S.D.[John S.D.], Evans, N.W.D.[Nicholas W.D.],
Automatic Cross-Biometric Footstep Database Labelling Using Speaker Recognition,
ICB09(503-512).
Springer DOI 0906
BibRef

Vera-Rodríguez, R.[Rubén], Lewis, R.P., Mason, J.S.D.[John S.D.], Evans, N.W.D.[Nicholas W.D.],
A large scale footstep database for biometric studies created using cross-biometrics for labelling,
ICARCV08(1361-1366).
IEEE DOI 1109
BibRef

Vera-Rodriguez, R.[Ruben], Mason, J.S.D., Fierrez, J.[Julian], Ortega-Garcia, J.[Javier],
Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition,
PAMI(35), No. 4, April 2013, pp. 823-834.
IEEE DOI 1303

See also Comparative Analysis of the Variability of Facial Landmarks for Forensics Using CCTV Images. BibRef

Wang, X.[Xuan], Yang, T.F.[Teng-Fei], Yu, Y.[Yao], Zhang, R.X.[Rui-Xin], Guo, F.X.[Fang-Xia],
Footstep-Identification System Based on Walking Interval,
IEEE_Int_Sys(30), No. 2, March 2015, pp. 46-52.
IEEE DOI 1504
Behavioral analysis BibRef

Turchet, L., Rodà, A.,
Emotion Rendering in Auditory Simulations of Imagined Walking Styles,
AffCom(8), No. 2, April 2017, pp. 241-253.
IEEE DOI 1706
Context, Emotion recognition, Engines, Footwear, Legged locomotion, Music, Production, Emotion rendering, footstep sounds, walking BibRef

Turchet, L., Zanotto, D., Minto, S., Rodà, A., Agrawal, S.K.,
Emotion Rendering in Plantar Vibro-Tactile Simulations of Imagined Walking Styles,
AffCom(8), No. 3, July 2017, pp. 340-354.
IEEE DOI 1709
Engines, Foot, Footwear, Haptic interfaces, Legged locomotion, Rendering (computer graphics), Vibrations, Emotion rendering, SoleSounds, footstep sounds, walking BibRef

Guo, F.X.[Fang-Xia], Wang, X.[Xuan],
Robust footstep identification system based on acoustic local features,
IET-Bio(6), No. 6, November 2017, pp. 387-392.
DOI Link 1711
BibRef

Roshan, A.[Aditya], Zhang, Y.[Yun],
Using mel-frequency audio features from footstep sound and spatial segmentation techniques to improve frame-based moving object detection,
IET-CV(12), No. 3, April 2018, pp. 341-349.
DOI Link 1804
BibRef

Costilla-Reyes, O.[Omar], Vera-Rodríguez, R.[Rubén], Scully, P.[Patricia], Ozanyan, K.B.[Krikor B.],
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks,
PAMI(41), No. 2, February 2019, pp. 285-296.
IEEE DOI 1901
Biological system modeling, Hidden Markov models, Biometrics (access control), Databases, Data models, floor sensor system BibRef

Crols, T.[Tomas], Malleson, N.[Nick],
Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility,
GeoInfo(23), No. 2, Apriul 2019, pp. 201-220.
WWW Link. 1906
BibRef

Ranganeni, V.[Vinitha], Chintalapudi, S.[Sahit], Salzman, O.[Oren], Likhachev, M.[Maxim],
Effective footstep planning using homotopy-class guidance,
AI(286), 2020, pp. 103346.
Elsevier DOI 2008
Humanoids, Footstep planning, Search-based planning, Topology, Homotopy classes, Heuristic generation BibRef

Xu, Y.[Ying], Li, G.F.[Guo-Feng], Li, Z.[Zeyu], Yu, H.[Hao], Cui, J.H.[Jian-Hui], Wang, J.[Jin], Chen, Y.[Yu],
Smartphone-Based Unconstrained Step Detection Fusing a Variable Sliding Window and an Adaptive Threshold,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Chakraborty, M.[Mainak], Kar, S.[Subrat],
Enhancing Person Identification Through Data Augmentation of Footstep-Based Seismic Signals,
SPLetters(30), 2023, pp. 1642-1646.
IEEE DOI 2311
BibRef

Lu, Y., Velipasalar, S.,
Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry,
ICIP16(464-468)
IEEE DOI 1610
Accelerometers BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Gender Analysis using Gait .