Published August 14, 2021
| Version
v6
Dataset
Open
TAD-Net: An Approach for Realtime Action Detection Based on TCN and GCN in Digital Twin Shop-floor
Creators
Description
We proposed a real-time detection approach for shop-floor production action, this approach took the sequence data of continuous human skeleton joints sequence as input, reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN), constructed our Temporal Action Detection Net (TAD-Net), realized real-time shop-floor production action detection.
Files
confuseMatrix1.csv
Files
(145.7 MB)
| Name | Size | Download all |
|---|---|---|
|
Checksum: md5:4afb207cbcb25747a6a498a5ceb98c6f
PID: http://hdl.handle.net/11304/734405b6-2e67-471e-807b-f6c3ad76884c |
6.6 kB | Preview Download |
|
Checksum: md5:db601b78791cf447aebfea544a666fcd
PID: http://hdl.handle.net/11304/5938add7-de8e-4b9f-8ce7-1461dd7645f2 |
108.7 MB | Download |
|
Checksum: md5:d67758a5d6e26b1c7b502c9c710bf193
PID: http://hdl.handle.net/11304/8e52f1e3-0983-4b8e-ae3f-d4b5dfaf797e |
37.0 MB | Download |
|
Checksum: md5:44fdd80ed94cad255bdc276eea049c2e
PID: http://hdl.handle.net/11304/a94b004b-96f6-451c-9fb7-4369a1b11cd6 |
34.7 kB | Download |
Additional details
Identifiers
- B2SHARE Legacy Record ID
- 532a2466eeaf416c8aa728dcceb4530c
- B2SHARE Legacy Record ID
- d731510f5bce4f6d8b075df6e84af00e
InGRID metadata
- Access
- Freely accessible for non-commercial use
- Data providers
- Qing Hong
- Guidelines for use available
- True
- Indicators available
- True
- Search or browse function available online
- True
- Text documents available
- True