IEICE TRANSACTIONS on Fundamentals
Personal Identification Using Footstep Detection in In-Door Environment
Summary :
Footsteps, with different shoes of heels, sneakers, leathers or even bare footed, will appear in different grounds of concrete, wood, etc. If a footstep is discriminable, the application to various fields can be considered. In this paper, the feature extraction of a footstep is investigated. We focus on the recognizing a certain kind of footstep waveforms under the restricted condition. We propose a new methodology using the feature parameter such as the peak frequency set by the mel-cepstrum analysis, the walking intervals and the similarity of spectrum envelope. It is shown for personal identification that the performance of the proposed method is effective.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.8 pp.2072-2077
- Publication Date
- 2005/08/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.8.2072
- Type of Manuscript
- Special Section PAPER (Special Section on Papers Selected from the 19th Symposium on Signal Processing)
- Category
- Digital Signal Processing
Authors
Keyword
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Yasuhiro SHOJI, Akitoshi ITAI, Hiroshi YASUKAWA, "Personal Identification Using Footstep Detection in In-Door Environment" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 8, pp. 2072-2077, August 2005, doi: 10.1093/ietfec/e88-a.8.2072.
Abstract: Footsteps, with different shoes of heels, sneakers, leathers or even bare footed, will appear in different grounds of concrete, wood, etc. If a footstep is discriminable, the application to various fields can be considered. In this paper, the feature extraction of a footstep is investigated. We focus on the recognizing a certain kind of footstep waveforms under the restricted condition. We propose a new methodology using the feature parameter such as the peak frequency set by the mel-cepstrum analysis, the walking intervals and the similarity of spectrum envelope. It is shown for personal identification that the performance of the proposed method is effective.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.8.2072/_p
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@ARTICLE{e88-a_8_2072,
author={Yasuhiro SHOJI, Akitoshi ITAI, Hiroshi YASUKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Personal Identification Using Footstep Detection in In-Door Environment},
year={2005},
volume={E88-A},
number={8},
pages={2072-2077},
abstract={Footsteps, with different shoes of heels, sneakers, leathers or even bare footed, will appear in different grounds of concrete, wood, etc. If a footstep is discriminable, the application to various fields can be considered. In this paper, the feature extraction of a footstep is investigated. We focus on the recognizing a certain kind of footstep waveforms under the restricted condition. We propose a new methodology using the feature parameter such as the peak frequency set by the mel-cepstrum analysis, the walking intervals and the similarity of spectrum envelope. It is shown for personal identification that the performance of the proposed method is effective.},
keywords={},
doi={10.1093/ietfec/e88-a.8.2072},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Personal Identification Using Footstep Detection in In-Door Environment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2072
EP - 2077
AU - Yasuhiro SHOJI
AU - Akitoshi ITAI
AU - Hiroshi YASUKAWA
PY - 2005
DO - 10.1093/ietfec/e88-a.8.2072
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2005
AB - Footsteps, with different shoes of heels, sneakers, leathers or even bare footed, will appear in different grounds of concrete, wood, etc. If a footstep is discriminable, the application to various fields can be considered. In this paper, the feature extraction of a footstep is investigated. We focus on the recognizing a certain kind of footstep waveforms under the restricted condition. We propose a new methodology using the feature parameter such as the peak frequency set by the mel-cepstrum analysis, the walking intervals and the similarity of spectrum envelope. It is shown for personal identification that the performance of the proposed method is effective.
ER -
English
