Edge Impulse Experts / Smart Table Tennis Bat – Real‑Time Stroke Classification Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Smart Table Tennis Bat – Real‑Time Stroke Classification

A custom smart table tennis bat for real-time stroke classification and motivational feedback, powered by Edge Impulse and Arduino Nano 33 BLE Sense.

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (707 samples)

View all

zzz.0005

ID: 2013510749

Label: zzz

Sample length: 500ms

BHsmash.20026

ID: 2013510783

Label: BHsmash

Sample length: 500ms

zzz.0031

ID: 2013511253

Label: zzz

Sample length: 500ms

FHdrive.0027

ID: 2013511118

Label: FHdrive

Sample length: 500ms

FHdrive.20004

ID: 2013510809

Label: FHdrive

Sample length: 500ms

BHsmash.20042

ID: 2013510672

Label: BHsmash

Sample length: 500ms

FHsmash.10015

ID: 2013510894

Label: FHsmash

Sample length: 500ms

FHdrive.20024

ID: 2013511031

Label: FHdrive

Sample length: 500ms

Model accuracy (Unoptimized (float32))

Validation set

96.4%

Test set

88.0%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

12 ms.

Peak RAM usage

1.5K

Flash usage

16.8K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

6m 34s

Sensors

accX, accY, accZ, gyrX, gyrY, gyrZ @ 50Hz

Labels

BHdrive, BHsmash, FHdrive, FHloop, FHsmash, unknown, zzz

Project info

Project ID	732429
License	3-Clause BSD
No. of views	38,323
No. of clones	35