a11y / Sign Language Detection A&B Public

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

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Sign Language Detection A&B

Images

A11y SignLanguage Accessibility ASL

About this project

The goal of the project is to implement a recognition system for some elements of American Sign Language fingerspelling. To achieve the goal, a neural network model was developed and then loaded into a microcontroller.

Data (6,084 items)

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B823

ID: 765803853

Label: 1

B2986

ID: 765804328

Label: 1

A594

ID: 765806458

Label: 0

A73

ID: 765806341

Label: 0

B77

ID: 765803902

Label: 1

sample.4gn4437n

ID: 765803681

Label: 1

B1530

ID: 765805615

Label: 1

B2177

ID: 765805051

Label: 1

Model accuracy (Unoptimized (float32))

Validation set

98.3%

Test set

96.5%

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

Latency

104 ms.

Peak RAM usage

13.3K

Flash usage

36.8K

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Dataset summary

Data collected

6,084 items

Labels

0, 1

Project info

Project ID	318850
Project version	4
License	Apache 2.0
No. of views	38,880
No. of clones	4