Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors
The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to
advance and capture the state-of-the-art in locomotion and transportation mode recognition …
advance and capture the state-of-the-art in locomotion and transportation mode recognition …
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020
In this paper we summarize the contributions of participants to the third Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Open Data Sets in Human Activity Recognition Research-Issues and Challenges: A Review
Huge amounts of data are generated with the emergence of new sensor technologies.
Human activity recognition (HAR) datasets are generated from cameras, such as video or …
Human activity recognition (HAR) datasets are generated from cameras, such as video or …
NDDNet: A deep learning model for predicting neurodegenerative diseases from gait pattern
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons
which affects the motor capacity of the patient. Particularly the walking gait is greatly …
which affects the motor capacity of the patient. Particularly the walking gait is greatly …
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
Tai Chi has been proven effective in preventing falls in older adults, improving the joint
function of knee osteoarthritis patients, and improving the balance of stroke survivors …
function of knee osteoarthritis patients, and improving the balance of stroke survivors …
A framework of combining short-term spatial/frequency feature extraction and long-term IndRNN for activity recognition
Smartphone-sensors-based human activity recognition is attracting increasing interest due
to the popularization of smartphones. It is a difficult long-range temporal recognition …
to the popularization of smartphones. It is a difficult long-range temporal recognition …
Feature-based method for nurse care complex activity recognition from accelerometer sensor
As the number of patients in hospitals is increasing day by day, proper monitoring and
hospital care towards patients must be ensured. In this regard, Nurse care activity …
hospital care towards patients must be ensured. In this regard, Nurse care activity …
A post-processing machine learning for activity recognition challenge with OpenStreetMap data
S Huang, J Lyu, S Zhang, R Tang, H **ao… - Adjunct Proceedings of …, 2023 - dl.acm.org
This paper aims to address the Sussex-Huawei Locomotion-Transportation (SHL)
recognition challenge organized at the HASCA Workshop of UbiComp 2023. The challenge …
recognition challenge organized at the HASCA Workshop of UbiComp 2023. The challenge …
Enhanced SHL recognition using machine learning and deep learning models with multi-source data
M Li, J Zhu, Y Zhang, X Lu - Adjunct Proceedings of the 2023 ACM …, 2023 - dl.acm.org
The Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge collects sensor
data for activity recognition, garnering significant interest among researchers. Our team …
data for activity recognition, garnering significant interest among researchers. Our team …
Nurse Care Activity Recognition from Accelerometer Sensor Data Using Fourier-and Wavelet-based Features
Nurse care activity recognition is an emerging segment in healthcare automation systems
based on physical movement recognition applying machine learning techniques using …
based on physical movement recognition applying machine learning techniques using …