A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage

Author:

Mekruksavanich Sakorn,Jantawong Ponnipa,Jitpattanakul Anuchit

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Multi-sensor fusion for activity recognition—a survey;Aguileta;Sensors,2019

2. Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey;Demrozi;IEEE Access,2020

3. Classification and Clustering in Biomedical Signal Processing;Dey,2016

4. Predicting the intended motion with emg signals for an exoskeleton orthosis controller;Fleischer,2005

5. An efficient resnetse architecture for smoking activity recognition from smartwatch;Hnoohom;Intelligent Automation & Soft Computing,2023

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1. Detecting Face-Touching Gestures with Smartwatches and Deep Learning Networks;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

2. Harnessing Deep Learning for Activity Recognition in Seniors' Daily Routines with Wearable Sensors;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

3. Deep Learning Networks for Human Knee Abnormality Detection Based on Surface EMG Signals;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

4. Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

5. Leveraging Inertial Information from a Single IMU for Human Daily Activity Recognition;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26

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