TY - GEN
T1 - Improvement of Human Activity Recognition (HAR) Performance by Utilizing LSTM in the Structure of Progressive Learning
AU - Hakim, Ahmed A.M.
AU - Yildiz, Solen Kumbay
AU - Yilmaz, Atila
AU - Saeed, Mohamedalfateh T.M.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Human Activity Recognition is a crucial area of research in many applications. However, training deep neural network-based models can be expensive and time-consuming. This paper introduces a progressive learning-based approach designed to not only reduce dimensionality but also maintain high accuracy. The proposed method replaces extensive sensor data with four extracted features, derived using a CNN-LSTM-based model trained on the WISDM dataset comprising six activity classes. The extracted features are fed into machine learning algorithms and achieve 97.73% accuracy.
AB - Human Activity Recognition is a crucial area of research in many applications. However, training deep neural network-based models can be expensive and time-consuming. This paper introduces a progressive learning-based approach designed to not only reduce dimensionality but also maintain high accuracy. The proposed method replaces extensive sensor data with four extracted features, derived using a CNN-LSTM-based model trained on the WISDM dataset comprising six activity classes. The extracted features are fed into machine learning algorithms and achieve 97.73% accuracy.
KW - Convolutional Neural network
KW - Human Activity Recognition
KW - LR
KW - LSTM
KW - Progressive learning
KW - SVM
UR - https://www.scopus.com/pages/publications/85215131610
U2 - 10.1109/COMSCI63166.2024.10778519
DO - 10.1109/COMSCI63166.2024.10778519
M3 - Conference contribution
AN - SCOPUS:85215131610
T3 - 2024 12th International Scientific Conference on Computer Science, COMSCI 2024 - Proceedings
BT - 2024 12th International Scientific Conference on Computer Science, COMSCI 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Scientific Conference on Computer Science, COMSCI 2024
Y2 - 13 September 2024 through 15 September 2024
ER -