The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지에서 우리는 인간 활동 인식에 대한 새로운 접근 방식을 제안합니다. 부착된 센서 모듈의 기울기에 강인한 기능 클래스와 HMM 기반 활동 인식에 적합한 상태 전이 모델을 제시합니다. 또한 인식 결과를 안정화하기 위해 후처리 기술이 적용됩니다. 제안된 접근 방식은 다양한 인간 활동 DB에 대한 인식 실험에서 상당한 개선을 보여줍니다.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Chang Woo HAN, Shin Jae KANG, Nam Soo KIM, "Implementation of HMM-Based Human Activity Recognition Using Single Triaxial Accelerometer" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 7, pp. 1379-1383, July 2010, doi: 10.1587/transfun.E93.A.1379.
Abstract: In this letter, we propose a novel approach to human activity recognition. We present a class of features that are robust to the tilt of the attached sensor module and a state transition model suitable for HMM-based activity recognition. In addition, postprocessing techniques are applied to stabilize the recognition results. The proposed approach shows significant improvements in recognition experiments over a variety of human activity DB.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1379/_p
부
@ARTICLE{e93-a_7_1379,
author={Chang Woo HAN, Shin Jae KANG, Nam Soo KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Implementation of HMM-Based Human Activity Recognition Using Single Triaxial Accelerometer},
year={2010},
volume={E93-A},
number={7},
pages={1379-1383},
abstract={In this letter, we propose a novel approach to human activity recognition. We present a class of features that are robust to the tilt of the attached sensor module and a state transition model suitable for HMM-based activity recognition. In addition, postprocessing techniques are applied to stabilize the recognition results. The proposed approach shows significant improvements in recognition experiments over a variety of human activity DB.},
keywords={},
doi={10.1587/transfun.E93.A.1379},
ISSN={1745-1337},
month={July},}
부
TY - JOUR
TI - Implementation of HMM-Based Human Activity Recognition Using Single Triaxial Accelerometer
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1379
EP - 1383
AU - Chang Woo HAN
AU - Shin Jae KANG
AU - Nam Soo KIM
PY - 2010
DO - 10.1587/transfun.E93.A.1379
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2010
AB - In this letter, we propose a novel approach to human activity recognition. We present a class of features that are robust to the tilt of the attached sensor module and a state transition model suitable for HMM-based activity recognition. In addition, postprocessing techniques are applied to stabilize the recognition results. The proposed approach shows significant improvements in recognition experiments over a variety of human activity DB.
ER -