tactigon-gear

Tactigon Gear

This package enables the wearable device Tactigon Skin to connect to your python project using Bluetooth Low Energy.

Architecture

Tactigon Gear environment has the following architecture:

Server is located on the cloud and it is manteined by Next Industries s.r.l. Server has a web interface where you can handle your profile and your data (models and gestures)

Provided Tactigon Gear SDK is the implementation of Tactigon Gear environment client side

Tactigon Gear SDK is used for collecting new raw data, send the data to server, ask server to train a model using the raw data, and download the model from server. Finally use the model for testing real-time gesture recognition.

Prerequisites

In order to use the Tactigon Gear SDK the following prerequisites needs to be observed:

• Python version: following versions has been used and tested. It is STRONGLY recommended to use these ones depending on platform.
  • Win10: 3.8.7
  • Linux: 3.8.5
  • Mac osx: 3.8.10
  • Raspberry: 3.7.3

Installing

Install and update using pip:

pip install tactigon-gear

A Simple Example

import time
from tactigon_gear import TSkin, TSkinConfig, Hand, OneFingerGesture

def main():
    TSKIN_MAC = "change-me"
    tskin_cfg = TSkinConfig(TSKIN_MAC, Hand.RIGHT) # Hand.LEFT if the TSkin is wear on left hand.

    tskin = TSkin(tskin_cfg)
    tskin.start()

    i = 0

    while True:
        if not tskin.connected:
            print("Connecting..")
            time.sleep(0.5)
            continue

        if i > 5:
            break

        a = tskin.angle
        t = tskin.touch
        acc = tskin.acceleration
        gyro = tskin.gyro

        print(a, t, acc, gyro)

        if t and t.one_finger == OneFingerGesture.TAP_AND_HOLD:
            i += 1
        else:
            i = 0

        time.sleep(0.02)

    tskin.terminate()

        
if __name__ == "__main__":
    main()

Licensing

In order to perform new training and download them you need to register on following web side: https://www.thetactigon.com/ai/web/ Once registration is done you can go to Profile section and click on Json File button to download file user_data.json The use of this file is described later in this doc.

Links

• Documentation
• Blog
• Quickstart
• SDK