Najeeb Ahmed Bhuiyan / Undergrad Thesis Gesture Recognition Public

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

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Undergrad Thesis Gesture Recognition

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Data (128 samples)

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to-fro.5mpomedr

ID: 1746291801

Label: to-fro

Sample length: 10s

idle.5mpr58t3

ID: 1746362978

Label: idle

Sample length: 10s

idle.5mprd7is

ID: 1746363051

Label: idle

Sample length: 10s

to-fro.5mpo5pk2

ID: 1746276521

Label: to-fro

Sample length: 10s

to-fro.5mpo9edr

ID: 1746281158

Label: to-fro

Sample length: 10s

idle.5mprq3t6

ID: 1746363278

Label: idle

Sample length: 10s

to-fro.5mpo08ea

ID: 1746270008

Label: to-fro

Sample length: 10s

left-right.5mpnavu2

ID: 1746252834

Label: left-right

Sample length: 10s

Model accuracy, Impulse #1 (Unoptimized (float32))

View 2 other experiments

Validation set

100.0%

Test set

100.0%

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

Latency

96 ms.

Peak RAM usage

8.1K

Flash usage

17.9K

Run this model

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Dataset summary

Data collected

21m 14s

Sensors

accX, accY, accZ, gyrX, gyrY, gyrZ, magX, magY, magZ @ 100Hz

Labels

circle, idle, left-right, rectangle, rectangle-flat, to-fro, up-down

Project info

Project ID	646751
License	3-Clause BSD
No. of views	33
No. of clones	0