A federated learning aggregation algorithm for pervasive computing: Evaluation and comparison
Pervasive computing promotes the installation of connected devices in our living spaces in
order to provide services. Two major developments have gained significant momentum …
order to provide services. Two major developments have gained significant momentum …
[HTML][HTML] A perspective on human activity recognition from inertial motion data
Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …
in recent years both in research and industrial applications. From the abstract perspective …
[HTML][HTML] 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 …
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
Abstract The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented
a unique opportunity to the activity-recognition community to test their approaches on a …
a unique opportunity to the activity-recognition community to test their approaches on a …
Summary of SHL challenge 2023: Recognizing locomotion and transportation mode from GPS and motion sensors
In this paper we summarize the contributions of participants to the fifth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion and transportation Mode Recognition from GPS and radio signals: Summary of SHL Challenge 2021
In this paper we summarize the contributions of participants to the fourth Sussex-Huawei
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCA …
Evaluation and comparison of federated learning algorithms for human activity recognition on smartphones
Pervasive computing promotes the integration of smart devices in our living spaces to
develop services providing assistance to people. Such smart devices are increasingly …
develop services providing assistance to people. Such smart devices are increasingly …
Semi-supervised learning for human activity recognition using adversarial autoencoders
D Balabka - Adjunct proceedings of the 2019 ACM international …, 2019 - dl.acm.org
SHL recognition challenge 2019 goal is to recognize eight locomotion and transportation
(activities) from the inertial sensor data of a smartphone. The dataset contains information …
(activities) from the inertial sensor data of a smartphone. The dataset contains information …
[HTML][HTML] Translating videos into synthetic training data for wearable sensor-based activity recognition systems using residual deep convolutional networks
V Fortes Rey, KK Garewal, P Lukowicz - Applied Sciences, 2021 - mdpi.com
Human activity recognition (HAR) using wearable sensors has benefited much less from
recent advances in Deep Learning than fields such as computer vision and natural …
recent advances in Deep Learning than fields such as computer vision and natural …
Using human body capacitance sensing to monitor leg motion dominated activities with a wrist worn device
Inertial measurement unit (IMU) is currently the dominant sensing modality in sensor-based
wearable human activity recognition. In this work, we explored an alternative wearable …
wearable human activity recognition. In this work, we explored an alternative wearable …