Wearable technology in education: A systematic review
HA Almusawi, CM Durugbo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Wearables, such as smart watches for fitness and virtual reality sets for entertainment, are
technological innovations transforming everyday life and offer benefits for education. This …
technological innovations transforming everyday life and offer benefits for education. This …
Stratified transfer learning for cross-domain activity recognition
In activity recognition, it is often expensive and time-consuming to acquire sufficient activity
labels. To solve this problem, transfer learning leverages the labeled samples from the …
labels. To solve this problem, transfer learning leverages the labeled samples from the …
Cross-position activity recognition with stratified transfer learning
Human activity recognition (HAR) aims to recognize the activities of daily living by utilizing
the sensors attached to different body parts. HAR relies on the machine learning models …
the sensors attached to different body parts. HAR relies on the machine learning models …
AUC-based extreme learning machines for supervised and semi-supervised imbalanced classification
Extreme learning machines (ELMs) has been theoretically and experimentally proved to
achieve promising performance at a fast learning speed for supervised classification tasks …
achieve promising performance at a fast learning speed for supervised classification tasks …
A multilayer interval type-2 fuzzy extreme learning machine for the recognition of walking activities and gait events using wearable sensors
In this paper, a novel Multilayer Interval Type-2 Fuzzy Extreme Learning Machine (ML-IT2-
FELM) for the recognition of walking activities and Gait events is presented. The ML-IT2 …
FELM) for the recognition of walking activities and Gait events is presented. The ML-IT2 …
Taste recognition in e-tongue using local discriminant preservation projection
Electronic tongue (E-Tongue), as a novel taste analysis tool, shows a promising perspective
for taste recognition. In this paper, we constructed a voltammetric E-Tongue system and …
for taste recognition. In this paper, we constructed a voltammetric E-Tongue system and …
Local domain adaptation for cross-domain activity recognition
Sensor-based human activity recognition (HAR) aims to recognize a human's physical
actions by using sensors attached to different body parts. As a user-specific application …
actions by using sensors attached to different body parts. As a user-specific application …
A novel feature incremental learning method for sensor-based activity recognition
Recognizing activities of daily living is an important research topic for health monitoring and
elderly care. However, most existing activity recognition models only work with static and pre …
elderly care. However, most existing activity recognition models only work with static and pre …
Densely connected deep extreme learning machine algorithm
As a single hidden layer feed-forward neural network, the extreme learning machine (ELM)
has been extensively studied for its short training time and good generalization ability …
has been extensively studied for its short training time and good generalization ability …
Hybrid domain adaptation with deep network architecture for end-to-end cross-domain human activity recognition
Abstract Machine learning-based human activity recognition (HAR) as the means of human–
computer interaction is important to empower the existing systems in the industry such as …
computer interaction is important to empower the existing systems in the industry such as …