User Tools

Site Tools


intern:construction_har

This is an old revision of the document!


Construction HAR (Summer 2022)

Jiankun Zheng (Ken)

1. Summary (goal)

2. Reading (can make subsections for notes)

A. Human Activity Recognition using Wearable Sensors by Deep Convolutional Neural Networks

SVM method has a relatively high accuracy but a relatively high computational cost
Feature Selection method has a relatively low computational cost but a significantly low accuracy
A trade-off exists between accuracy and computational cost
DCNN+ and DCNN methods achieve a good balance between the two (accuracy and efficiency)

3. Coding (w/ description)

4. Research Progress (update every other day)

Aug/02/22
Aug/04/22
Aug/06/22
Aug/08/22
Aug/10/22
Aug/12/22
Aug/14/22

4.1 Final Report PPT

intern/construction_har.1660196865.txt.gz · Last modified: 2022/08/11 01:47 by kenzjk