Multiple Tree Model Integration for Transportation Mode Recognition

被引：6

作者：

Ren, Yan ^{[1
]}

机构：

[1] Renmin Univ China, Beijing, Peoples R China

来源：

UBICOMP/ISWC '21 ADJUNCT: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS | 2021年

关键词：

Transportation Mode Recognition; LightGBM; Random Forest; Bagging; Ensemble;

D O I：

10.1145/3460418.3479372

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The team RY presents a solution for Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge, which aims at differentiating eight transportation modes with mobile phone signal sensor data in this paper. This study first extracted a set of reasonable and discriminative features after data-preprocessing. Then, decision tree bagging, random forest, lightGBM are trained separately as basic models, whose predictions are integrated and afterward smoothed. The method gets 0.65 accuracy score on validation dataset.

引用

页码：385 / 389

页数：5

共 16 条

[1] Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains [J].

Ashqar, Huthaifa, I ;

Almannaa, Mohammed H. ;

Elhenawy, Mohammed ;

Rakha, Hesham A. ;

House, Leanna .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (01) :244-252

[2]

Elhoushi M, 2014, I NAVIG SAT DIV INT, P1768

[3]

Elhoushi M, 2014, IEEE POSITION LOCAT, P158, DOI 10.1109/PLANS.2014.6851370

[4] Transportation mode recognition using GPS and accelerometer data [J].

Feng, Tao ;

Timmermans, Harry J. P. .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 37 :118-130

[5] The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices [J].

Gjoreski, Hristijan ;

Ciliberto, Mathias ;

Wang, Lin ;

Morales, Francisco Javier Ordonez ;

Mekki, Sami ;

Valentin, Stefan ;

Roggen, Daniel .

IEEE ACCESS, 2018, 6 :42592-42604

[6] Deep Convolutional Bidirectional LSTM Based Transportation Mode Recognition [J].

Jeyakumar, Jeya Vikranth ;

Sun Lee, Eun ;

Xia, Zhengxu ;

Sandha, Sandeep Singh ;

Tausik, Nathan ;

Srivastava, Mani .

PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT), 2018, :1606-1615

[7] Automatic Transportation Mode Recognition on Smartphone Data Based on Deep Neural Networks [J].