Apr 2, 2021 · This work presents an activity recognition model based on Transformers which offers an improved and general framework for learning activity recognition tasks.

This work presents an activity recognition model based on Transformers which offers an improved and general framework for learning activity recognition tasks.

This work presents an activity recognition model based on Transformers which offers an improved and general framework for learning activity recognition ...

We propose a general framework for inertial-based activity recognition with Transformers. Samples collected over time with inertial sensors on mobile devices ...

Apr 13, 2021 · Recently, Transformers were shown to outperform these architectures for sequence analysis tasks. This work presents an activity recognition.

This work presents an activity recognition model based on Transformers which offers an improved and general framework for learning activity recognition tasks.

Boosting Inertial-Based Human Activity Recognition with Transformers. Yoli Shavit, Itzik Klein · Department of Marine Technologies. Research output ...

Oct 17, 2024 · Transformers have excelled in natural language processing and computer vision, paving their way to sensor-based Human Activity Recognition (HAR).

Current learning-based approaches for activity recognition from inertial data employ convolutional neural networks (CNNs) or long short term memory (LSTM).

Oct 27, 2021 · Boosting Inertial Based Human Activity Recognition With Transformers IEEE PROJECTS 2021-2022 TITLE LIST MTech,BTech,BE,ME,B.Sc,M.Sc,BCA,MCA ...