A System for Activity Recognition Using Multi-Sensor Fusion

被引：0

作者：

Gao, Lei ^{[1
]}

Bourke, Alan K. ^{[1
]}

Nelson, John ^{[1
]}

机构：

[1] Univ Limerick, Dept Elect & Comp Engn, Fac Sci & Engn, Limerick, Ireland

来源：

2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2011年

关键词：

TRIAXIAL ACCELEROMETER;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper proposes a system for activity recognition using multi-sensor fusion. In this system, four sensors are attached to the waist, chest, thigh, and side of the body. In the study we present two solutions for factors that affect the activity recognition accuracy: the calibration drift and the sensor orientation changing. The datasets used to evaluate this system were collected from 8 subjects who were asked to perform 8 scripted normal activities of daily living (ADL), three times each. The Naive Bayes classifier using multi-sensor fusion is adopted and achieves 70.88%-97.66% recognition accuracies for 1-4 sensors.

引用

页码：7869 / 7872

页数：4

共 50 条

[1] Multi-Sensor Fusion for Activity Recognition-A Survey
Aguileta, Antonio A.
Brena, Ramon F.
Mayora, Oscar
Molino-Minero-Re, Erik
Trejo, Luis A.
[J]. SENSORS, 2019, 19 (17)
[2] Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines
Wang, Honggang
Yan, Weizhong
Liu, Shaopeng
[J]. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2019,
[3] Multi-Sensor Fusion based Robot Self-Activity Recognition
Luo, Dingsheng
Ma, Yang
Zhang, Xiangqi
Wu, Xihong
[J]. 2018 IEEE-RAS 18TH INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2018, : 834 - 839
[4] Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System
Zhou, Haiyang
Zhao, Yixin
Liu, Yanzhong
Lu, Sichao
An, Xiang
Liu, Qiang
[J]. SENSORS, 2023, 23 (10)
[5] Human Daily Activity Recognition in Robot-assisted Living Using Multi-sensor Fusion
Zhu, Chun
Sheng, Weihua
[J]. ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2009, : 3644 - 3649
[6] Multi-sensor data fusion methods for indoor activity recognition using temporal evidence theory
Kushwah, Aseem
Kumar, Sudhir
Hegde, Rajesh M.
[J]. PERVASIVE AND MOBILE COMPUTING, 2015, 21 : 19 - 29
[7] Emotion-relevant activity recognition based on smart cushion using multi-sensor fusion
Gravina, Raffaele
Li, Qimeng
[J]. INFORMATION FUSION, 2019, 48 : 1 - 10
[8] Scene Recognition for Indoor Localization Using a Multi-Sensor Fusion Approach
Liu, Mengyun
Chen, Ruizhi
Li, Deren
Chen, Yujin
Guo, Guangyi
Cao, Zhipeng
Pan, Yuanjin
[J]. SENSORS, 2017, 17 (12)
[9] Multi-sensor human activity recognition using CNN and GRU
Nafea, Ohoud
Abdul, Wadood
Muhammad, Ghulam
[J]. INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2022, 11 (02) : 135 - 147
[10] Multi-sensor human activity recognition using CNN and GRU
Ohoud Nafea
Wadood Abdul
Ghulam Muhammad
[J]. International Journal of Multimedia Information Retrieval, 2022, 11 : 135 - 147

← 1 2 3 4 5 →