[HTML][HTML] BSTCA-HAR: Human Activity Recognition Model Based on Wearable Mobile Sensors
Y Yuan, L Huang, X Tan, F Yang, S Yang - Applied Sciences, 2024 - mdpi.com
Sensor-based human activity recognition has been widely used in various fields; however,
there are still challenges involving recognition of daily complex human activities using …
there are still challenges involving recognition of daily complex human activities using …
Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step
A Smith, M Azeem, CO Odhiambo… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The characterization of human behavior in real-world contexts is critical for developing a
comprehensive model of human health. Recent technological advancements have enabled …
comprehensive model of human health. Recent technological advancements have enabled …
[HTML][HTML] Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study
CO Odhiambo, L Ablonczy, PJ Wright… - JMIR Human …, 2023 - humanfactors.jmir.org
Background Medication adherence is a global public health challenge, as only
approximately 50% of people adhere to their medication regimens. Medication reminders …
approximately 50% of people adhere to their medication regimens. Medication reminders …
Development of Automated System for Classifying Productivity Behavior of Construction Workers Using Deep Learning
R Kasai, T Goso, M Akiyama, H Kato - Engineering Journal, 2024 - engj.org
In Japan, the integration and comprehensive understanding of data related to the working
environment and productivity at construction sites remain underdeveloped. This study …
environment and productivity at construction sites remain underdeveloped. This study …
Comprehensive and user-analytics-friendly cancer patient database for physicians and researchers
A Firooz, AT Funkhouser, JC Martin… - 2022 International …, 2022 - ieeexplore.ieee.org
Nuanced cancer patient care is needed, as the development and clinical course of cancer is
multifactorial with influences from the general health status of the patient, germline and …
multifactorial with influences from the general health status of the patient, germline and …
A data-driven classifier for motion detection of soldiers on the battlefield using recurrent architectures and hyperparameter optimization
J Kim, G Chae, J Park, KW Park - Journal of Intelligence and …, 2023 - koreascience.kr
The technology that recognizes a soldier's motion and movement status has recently
attracted large attention as a combination of wearable technology and artificial intelligence …
attracted large attention as a combination of wearable technology and artificial intelligence …
[PDF][PDF] Design and Evaluation of Embedded Neural Network Models for Bird Activity Recognition Based on Accelerometer Data
S MORBALE - ds.informatik.uni-kiel.de
Due to the advances in IoT, wearable sensors such as accelerometers are being used
widely to study behavior in humans and a variety of other animals. Although human activity …
widely to study behavior in humans and a variety of other animals. Although human activity …