Human activity recognition system based on low-cost IoT chip ESP32
Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human ac...
Saved in:
Main Authors: | Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN |
---|---|
Format: | Article |
Language: | zho |
Published: |
China InfoCom Media Group
2023-06-01
|
Series: | 物联网学报 |
Subjects: | |
Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00330/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on agricultural IoT pest and disease image recognition algorithm based on STM32
by: Botao XU, et al.
Published: (2023-12-01) -
Design and Implementation of A Smart Home System With The Internet of Things (IoT) Using Esp32
by: Moh Abdul Kholik, et al.
Published: (2023-05-01) -
A Low-Cost IoT System Based on the ESP32 Microcontroller for Efficient Monitoring of a Pilot Anaerobic Biogas Reactor
by: Sotirios D. Kalamaras, et al.
Published: (2024-12-01) -
Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals
by: Yan Zhao, et al.
Published: (2024-03-01) -
3D gesture recognition based on dynamic template matching algorithm for intelligent wearable devices
by: Yunhe LI
Published: (2019-03-01)