High-Performance Real-Time Human Activity Recognition Using Machine Learning
Human Activity Recognition (HAR) is a vital technology in domains such as healthcare, fitness, and smart environments. This paper presents an innovative HAR system that leverages machine-learning algorithms deployed on the B-L475E-IOT01A Discovery Kit, a highly efficient microcontroller platform des...
Saved in:
| Main Authors: | Pardhu Thottempudi, Biswaranjan Acharya, Fernando Moreira |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/22/3622 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Cost-Effective Real-Time Human Activity Recognition System Using Supervised Learning Algorithms and Wearable Acceleration Sensors
by: Nguyen Thi Thu, et al.
Published: (2025-06-01) -
Intelligent biosensors for human movement rehabilitation and intention recognition
by: Mehrab Rafiq, et al.
Published: (2025-07-01) -
Hand Gesture Recognition From Wrist-Worn Camera for Human–Machine Interaction
by: Hong-Quan Nguyen, et al.
Published: (2023-01-01) -
A parallel CNN architecture for sport activity recognition based on minimal movement data
by: Huipeng Zhao
Published: (2024-12-01) -
Lightweight Periodic Scheduler in Wearable Devices for Real-Time Biofeedback Systems in Sports and Physical Rehabilitation
by: Anton Kos, et al.
Published: (2025-06-01)