EMERGE Demo: Soft Sensor Touch Detection

This repository demonstrates the use of soft sensors for touch detection. The system consists of two main components: the Follow-Touch application for managing BLE connections and measurements, and a Neural Model based on Randomized Oscillator Networks for detecting one of five contact points on the soft sensor.

---

Follow-Touch: Bluetooth-Based Sensor Management

The Follow-Touch application acts as the central hub for connecting to and managing BLE-enabled peripherals. It provides a graphical interface for scanning, pairing, and interacting with sensors.

Features

• Device Scanning and Pairing: Automatically scans for BLE devices and allows pairing with peripherals.
• Real-Time Measurements: Collects sensor data at configurable intervals (55ms to 1000ms).
• File Output: Saves measurement data in JSON format for each peripheral and combines results into an Excel file (.xls).
• Visual Feedback: Displays the connection state of peripherals using color codes:
  • White: Undefined state
  • Green: Bluetooth connection is working
  • Orange: Request for pairing
  • Red: No Bluetooth connection
• Plotting: Each peripheral has its own plot window to visualize sensor data in real-time.

Default Behavior

• Only peripherals with the name "touch" are visible by default.
• Output files are saved in the STORAGE_PATH directory, which can be configured via environment variables.

---

Neural Model: Randomized Oscillator Networks

The Neural Model uses Randomized Oscillator Networks as a recurrent model to detect one of five contact points on the soft sensor. This model processes the sensor data collected by the Follow-Touch application and predicts the contact point based on the input signals.

Features

• Recurrent Neural Network: Implements a Randomized Oscillator Network for temporal data processing.
• Contact Point Detection: Identifies one of five predefined contact points on the soft sensor.
• Integration with Follow-Touch: Processes the JSON output files generated by the Follow-Touch application.

---

Requirements

To run the system, ensure the following prerequisites are met:

1. Python Environment:

   • Install Conda for managing dependencies.
   • Python version 3.8.10 or higher is required.

2. Bluetooth:

   • Ensure your local machine has Bluetooth capabilities.

3. Dependencies:

   • Install the required Python packages for both components using the provided build scripts.

---

Build Instructions

To set up the environment and build the components, follow these steps:

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>