Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors

L Wang, H Gjoreski, M Ciliberto, P Lago… - Frontiers in Computer …, 2021 - frontiersin.org
The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to
advance and capture the state-of-the-art in locomotion and transportation mode recognition …

[HTML][HTML] Transportation Mode Detection Using Learning Methods and Self-Contained Sensors

I Gharbi, F Taia-Alaoui, H Fourati, N Vuillerme, Z Zhou - Sensors, 2024 - mdpi.com
Due to increasing traffic congestion, travel modeling has gained importance in the
development of transportion mode detection (TMD) strategies over the past decade …

Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors

M Gjoreski, V Janko, G Slapničar, M Mlakar, N Reščič… - Information …, 2020 - Elsevier
Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented
a unique opportunity to the activity-recognition community to test their approaches on a …

Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020

L Wang, H Gjoreski, M Ciliberto, P Lago… - Adjunct proceedings of …, 2020 - dl.acm.org
In this paper we summarize the contributions of participants to the third Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …

Summary of SHL challenge 2023: Recognizing locomotion and transportation mode from GPS and motion sensors

L Wang, H Gjoreski, M Ciliberto, P Lago… - Adjunct Proceedings of …, 2023 - dl.acm.org
In this paper we summarize the contributions of participants to the fifth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …

Locomotion and transportation Mode Recognition from GPS and radio signals: Summary of SHL Challenge 2021

L Wang, M Ciliberto, H Gjoreski, P Lago… - Adjunct Proceedings of …, 2021 - dl.acm.org
In this paper we summarize the contributions of participants to the fourth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …

SenseHAR: a robust virtual activity sensor for smartphones and wearables

JV Jeyakumar, L Lai, N Suda… - Proceedings of the 17th …, 2019 - dl.acm.org
Modern smartphones and smartwatches are equipped with inertial sensors (accelerometer,
gyroscope, and magnetometer) that can be used for Human Activity Recognition (HAR) to …

Application of CNN for human activity recognition with FFT spectrogram of acceleration and gyro sensors

C Ito, X Cao, M Shuzo, E Maeda - … of the 2018 ACM international joint …, 2018 - dl.acm.org
At the SHL recognition challenge 2018, Team Tesaguri developed a human activity
recognition method. First, we obtained the FFT spectrogram from 60-second acceleration …

[HTML][HTML] Accurate measurement of handwash quality using sensor armbands: Instrument validation study

C Wang, Z Sarsenbayeva, X Chen… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: Hand hygiene is a crucial and cost-effective method to prevent health care–
associated infections, and in 2009, the World Health Organization (WHO) issued guidelines …

Transportation mode recognition fusing wearable motion, sound, and vision sensors

S Richoz, L Wang, P Birch, D Roggen - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
We present the first work that investigates the potential of improving the performance of
transportation mode recognition through fusing multimodal data from wearable sensors …