[HTML][HTML] An Optimal Feature Selection Method for Human Activity Recognition Using Multimodal Sensory Data
Recently, the research community has taken great interest in human activity recognition
(HAR) due to its wide range of applications in different fields of life, including medicine …
(HAR) due to its wide range of applications in different fields of life, including medicine …
Identification of Optimal Data Augmentation Techniques for Multimodal Time-Series Sensory Data: A Framework
Recently, the research community has shown significant interest in the continuous temporal
data obtained from motion sensors in wearable devices. These data are useful for …
data obtained from motion sensors in wearable devices. These data are useful for …
Enhanced LDA with SVM and Ensemble Learning for Advanced ADL Classification Using Smartwatch Data
The demographic shift towards an older population introduces significant challenges for
healthcare, necessitating advancements in predictive, dynamic care models. Central to this …
healthcare, necessitating advancements in predictive, dynamic care models. Central to this …
[PDF][PDF] Codebook-Based Feature Engineering for Human Activity Recognition Using Multimodal Sensory Data
HAR is a rapidly evolving field within machine learning and pervasive computing, focused
on recognizing and interpreting human actions and behaviors using sensory data from …
on recognizing and interpreting human actions and behaviors using sensory data from …