Logical reasoning for human activity recognition based on multisource data from wearable device
Abstract Smart wearable devices detection and recording of people’s everyday activities is critical for health monitoring, helping persons with disabilities, and providing care for the elderly. Most of the research that is being conducted uses a machine learning-based methodology; however, these app...
Saved in:
Main Authors: | Mahmood Alsaadi, Ismail Keshta, Janjhyam Venkata Naga Ramesh, Divya Nimma, Mohammad Shabaz, Nirupma pathak, Pavitar Parkash Singh, Sherzod Kiyosov, Mukesh Soni |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-84532-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion
by: Ye Yuan, et al.
Published: (2025-01-01) -
Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, China
by: Yihang Xiao, et al.
Published: (2025-01-01) -
Instrumenting Parkrun: Usefulness and Validity of Inertial Sensors
by: Rachel Mason, et al.
Published: (2024-12-01) -
Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders
by: Wei-Chun Hsu, et al.
Published: (2018-10-01) -
The Design and Validation of an Open-Palm Data Glove for Precision Finger and Wrist Tracking
by: Olivia Hosie, et al.
Published: (2025-01-01)