Human activity recognition based on multiple inertial sensors through feature-based knowledge distillation paradigm-Reference-Cited by-同舟云学术

Human activity recognition based on multiple inertial sensors through feature-based knowledge distillation paradigm

Published:2023-09 Issue: Volume:640 Page:119073
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Mardanpour Malihe,Sepahvand Majid,Abdali-Mohammadi Fardin^ORCID,Nikouei Mahya,Sarabi Homeyra

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference38 articles.

1. Sensor-based and vision-based human activity recognition: a comprehensive survey;Minh Dang;Pattern Recognit.,2020

2. A survey on wearable sensor modality centred human activity recognition in health care;Wang;Expert Syst. Appl.,2019

3. Intelligent fall detection method based on accelerometer data from a wrist-worn smart watch;Chen;Measurement,2019

4. A novel representation in genetic programming for ensemble classification of human motions based on inertial signals;Sepahvand;Expert Syst. Appl.,2021

5. Human activity recognition from accelerometer with convolutional and recurrent neural networks;Serrão;Polytechnica,2021

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