tahamajs/CPS/Files/ComputerAssignments/CA2/code/pc - Storage Bucket

Air Mouse – Embedded Systems Exercise

University of Tehran, Faculty of Electrical and Computer Engineering
Second Semester 1404-1405 (2025-2026)

Project Overview

An Air Mouse that uses an Android smartphone’s sensors to control a computer’s mouse cursor.
The system consists of three main components:

• Android App – reads and fuses sensor data, detects gestures, and sends commands over TCP.
• PC Server (Python / Go) – receives commands, moves the mouse cursor, and sends ACK responses.
• Perfetto Trace Analysis – profiles the Android app for performance evaluation.

All communication follows a standardised JSON‑line protocol over TCP, with UDP used only for auto‑discovery and mDNS for effortless pairing.

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🎯 Exercise Requirements (All Implemented)

Requirement	Implementation
Calibration UI (gyro, accel, magnetometer)	CalibrationActivity with 3 tabs, animated phone orientations, timer, back/next/stop
Sensor fusion (Madgwick AHRS)	SensorFusion.kt – hand‑written, no external libraries
Cursor movement (Z/X axes)	Euler angles → dx,dy via GestureDetector.kt
Click detection (Y‑axis quick rotation)	Angular velocity threshold + cooldown
Scroll detection (Y‑axis linear movement)	TYPE_LINEAR_ACCELERATION → threshold + cooldown
Visual indicator (green square)	fragment_home.xml → orientationIndicator
Click/scroll feedback	Flashing label in HomeFragment
TCP with JSON (DeltaX, DeltaY, Click, Scroll)	DataSender.kt → PC server
ACK & retransmission	Client retries up to 3 times if no ACK within 500ms
Auto‑reconnect	AutoReconnect.kt
QR code pairing	zxing scanner + QR generation in PC server
UDP discovery	UdpDiscoveryClient.kt + server’s udp_discovery.py / server/udp.go
mDNS (Bonjour)	server/mdns.go (fixed)
Perfetto tracing	Tracepoints in sensor callback, filter, network send
Perfetto analysis	perfetto_analyzer.py answers all 11 questions
Adaptive app icon	mipmap-anydpi-v26/ic_launcher.xml with foreground/background vectors

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📡 Communication Protocol

Transport

• TCP port 8080 – all mouse commands (reliable, ordered).
• UDP port 8081 – only for discovery broadcast (no reply needed for movement).

Message Format

Every message is a single JSON line terminated by \n.

Client → Server

Type	Fields	Description
move	dx (float), dy (float)	Mouse displacement (no ACK required)
click	id (int)	Left click (ACK expected)
doubleclick	id (int)	Double click (ACK expected)
rightclick	id (int)	Right click (ACK expected)
scroll	delta (int), id (int)	Scroll amount (positive = up)
hello	name (string)	Device identification on connect

Server → Client

Type	Fields	Description
ack	id (int)	Acknowledges a click/scroll

ACK & Retransmission

• The client stores every click/scroll message in a PendingCommand map.
• If no ack with matching id arrives within 500ms, the message is resent up to 3 times.
• move messages are fire‑and‑forget – they are dropped if the network is congested.

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📁 Project Structure

code/
├── android/                  # Android Studio project (Kotlin)
│   ├── app/src/main/java/com/airmouse/
│   │   ├── ui/               # Activities & fragments
│   │   ├── network/          # DataSender, AutoReconnect, UdpDiscoveryClient
│   │   ├── sensors/          # SensorFusion, CalibrationManager, GestureDetector
│   │   ├── calibration/      # CalibrationPagerAdapter, step fragments
│   │   └── utils/            # LogManager, PreferencesManager, ValidationUtils
│   └── ...                   # layouts, drawables, manifest, etc.
├── pc/                       # PC server (Python)
│   ├── airmouse_server/      # Modular server package
│   │   ├── config.py
│   │   ├── mouse_controller.py
│   │   ├── tcp_server.py
│   │   ├── udp_discovery.py
│   │   ├── mdns_advertiser.py
│   │   ├── qr_manager.py
│   │   ├── tray_manager.py
│   │   ├── notification_manager.py
│   │   ├── performance_monitor.py
│   │   └── gui.py
│   └── run.py
├── pc/airmouse-go/           # PC server (Go)
│   ├── config/
│   ├── control/              # MouseController interface + darwin/other implementations
│   ├── server/               # tcp.go, udp.go, mdns.go
│   ├── ui/                   # app.go (Fyne multi‑tab GUI)
│   ├── main.go
│   └── go.mod / go.sum
└── profiling/                # Perfetto config & analysis
    ├── config.pbtx
    └── perfetto_analyzer.py

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🔧 Calibration System

Gyroscope

1. Keep the phone perfectly still on a flat surface.
2. Press Start – 100 samples are collected.
3. The mean bias is computed and subtracted from all future readings.

Accelerometer (6‑position)

• The user is guided through 6 orientations with an animated phone graphic.
• For each position, 100 samples are collected.
• Offsets and scale factors are calculated so that gravity reads exactly 9.81 m/s².

Magnetometer (hard‑iron)

• The user moves the phone in a figure‑8 pattern until 200 samples are collected.
• Min/max per axis are used to compute hard‑iron offset and soft‑iron scale.

All calibration data is saved in SharedPreferences and applied before sensor fusion.

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⚙️ Sensor Fusion & Gestures

• Madgwick AHRS fuses gyroscope, accelerometer, and magnetometer to produce a drift‑free orientation.
• Euler angles (pitch, roll, yaw) are extracted from the quaternion.
• Gesture mapping:
  • Horizontal movement ← pitch (Z‑axis rotation)
  • Vertical movement ← roll (X‑axis rotation)
  • Click ← quick yaw left (angular velocity > threshold)
  • Scroll ← rapid linear acceleration along Y‑axis

All thresholds and the sensitivity multiplier (0.2–2.0) are configurable in the app or in the PC server.

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🖥️ PC Server (Python / Go)

Python Server

• Professional dark‑mode GUI built with tkinter.
• QR code generation, live log, client list, tray icon, etc.
• Run: cd pc && pip install -r requirements.txt && python run.py

Go Server

• Beautiful multi‑tab GUI built with Fyne (Dashboard, Network, Clients, Settings, Logs).
• Statically linked binary – no runtime dependencies.
• Cross‑platform (Windows, macOS, Linux) thanks to platform‑specific mouse controllers.
• Run: cd pc/airmouse-go && go run .

Both servers implement the same protocol, so you can use either one with the Android app.

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📱 Android App

Key Features

• Home screen: IP/port entry, QR scan button, device name, sensitivity slider.
• Calibration wizard: step‑by‑step with visual animations.
• Live log: in‑app and full‑screen view with filtering.
• Auto‑reconnect: seamless recovery after network disruptions.
• ACK/retransmission: reliable delivery of clicks and scrolls.

Build & Install

1. Open android/ in Android Studio.
2. Ensure gradle.properties has android.useAndroidX=true.
3. Build APK: ./gradlew assembleDebug
4. Install on device: adb install -r app/build/outputs/apk/debug/app-debug.apk

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📊 Profiling (Perfetto)

1. Record a trace while using the app:

   python record_android_trace -o trace_file.perfetto-trace -t 15s sched freq idle wm gfx view
   

2. Run the analysis script:

   python profiling/perfetto_analyzer.py trace_file.perfetto-trace
   

3. The script outputs answers to all 11 required questions, including average filter CPU time, sampling period, thread contention, and end‑to‑end latency.

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🧪 Testing

Go Server

cd pc/airmouse-go
go test ./...

Android

• Manual testing on a physical device (API 29+).
• UI test (CalibrationUITest.kt) can be added to verify calibration workflow.

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📦 Deliverables

• CPS-CA2-<SID1>-<SID2>-<SID3>-<SID4>.zip
  • Source code (Android + PC server + profiling tools)
  • APK file
  • Perfetto trace and analysis results
  • Report (with screenshots and answers to all questions)
  • Short video (≤5 min) showing phone and laptop simultaneously

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👥 Authors

• Arian Firoozi
• Arsalan Talaee
• (Your group members)

Supervised by Dr. Mohsen Shokri and Dr. Mehdi Kargahi.