WeSign/unity-application
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases 6 Wiki Activity

Implemented changes to use abstract feedback

Browse Source
This commit is contained in:
CoudronJerome
2023-03-30 19:38:58 +02:00
parent a44532b94a
commit c9ebec1724
22 changed files with 559 additions and 332 deletions
Download Patch File Download Diff File Expand all files Collapse all files

143
Assets/Hangman/Scripts/HangmanGameController.cs
View File

@@ -1,11 +1,13 @@
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using TMPro;
using UnityEngine;
using UnityEngine.UI;
using DigitalRuby.Tween;
public class HangmanGameController : MonoBehaviour
public class HangmanGameController : AbstractFeedback
{
/// <summary>
/// The scriptable with all the themes, will be used to select a random word for hangman.
@@ -200,11 +202,6 @@ public class HangmanGameController : MonoBehaviour
/// </summary>
public GameObject scoreboardEntry;
/// <summary>
/// Accuracy feeback object
/// </summary>
public Feedback feedback;
/// <summary>
/// The button to go into the game
/// </summary>
@@ -217,6 +214,16 @@ public class HangmanGameController : MonoBehaviour
// Start is called before the first frame update
void Start()
{
StartController();
signPredictor.SetModel(ModelIndex.FINGERSPELLING);
AddSelfAsListener();
}
/// <summary>
/// Called at the start of the scene AND when the scene is replayed
/// </summary>
public void StartController()
{
// Make sure the mode starts at zero
mode = 0;
@@ -240,19 +247,6 @@ public class HangmanGameController : MonoBehaviour
user.minigames.Add(progress);
}
userList.Save();
// Hangman always uses fingerspelling
feedback.signPredictor.ChangeModel(ModelIndex.FINGERSPELLING);
// Set calllbacks
feedback.getSignCallback = () =>
{
return "A";
};
feedback.predictSignCallback = (sign) =>
{
currentsign = sign;
};
}
/// <summary>
@@ -281,7 +275,7 @@ public class HangmanGameController : MonoBehaviour
DeleteWord();
DisplayWord(currentWord);
replayButton.onClick.AddListener(Start);
replayButton.onClick.AddListener(StartController);
// Call to display the first image, corresponding to a clean image.
ChangeSprite();
}
@@ -352,7 +346,7 @@ public class HangmanGameController : MonoBehaviour
{
if (mode == 1)
{
if (currentsign != "")
if (currentsign != "" && currentsign != null)
{
char letter = currentsign.ToLower()[0];
currentsign = "";
@@ -393,7 +387,7 @@ public class HangmanGameController : MonoBehaviour
// For the first input char given by the user, check if the letter is in the word that needs to be spelled.
// Check to make sure the inputfield is not empty
if (currentsign != "")
if (currentsign != null && currentsign != "")
{
char firstLetter = currentsign.ToLower()[0];
currentsign = "";
@@ -543,21 +537,6 @@ public class HangmanGameController : MonoBehaviour
}
}
/// <summary>
/// Randomly shuffle the list of words
/// </summary>
private void ShuffleWords()
{
for (int i = words.Length - 1; i > 0; i--)
{
// Generate a random index between 0 and i (inclusive)
int j = UnityEngine.Random.Range(0, i + 1);
// Swap the values at indices i and j
(words[j], words[i]) = (words[i], words[j]);
}
}
/// <summary>
/// Update and save the scores
/// </summary>
@@ -731,4 +710,94 @@ public class HangmanGameController : MonoBehaviour
rank++;
}
}
protected override IEnumerator UpdateFeedback()
{
// Get current sign
string currentSign = "A";
// Get the predicted sign
if (signPredictor != null && signPredictor.learnableProbabilities != null &&
currentSign != null && signPredictor.learnableProbabilities.ContainsKey(currentSign))
{
float accuracy = signPredictor.learnableProbabilities[currentSign];
if (feedbackText != null && feedbackProgressImage != null)
{
if (accuracy > 0.90)
{
feedbackText.text = "Goed";
feedbackText.color = Color.green;
feedbackProgressImage.color = Color.green;
}
else if (accuracy > 0.80)
{
feedbackText.text = "Bijna...";
Color col = new Color(0xff / 255.0f, 0x66 / 255.0f, 0x00 / 255.0f);
feedbackText.color = col;
feedbackProgressImage.color = col;
}
else
{
feedbackText.text = "Detecteren...";
feedbackText.color = Color.red;
feedbackProgressImage.color = Color.red;
}
float oldValue = feedbackProgress.value;
// use an exponential scale
float newValue = Mathf.Exp(4 * (accuracy - 1.0f));
feedbackProgress.gameObject.Tween("FeedbackUpdate", oldValue, newValue, 0.2f, TweenScaleFunctions.CubicEaseInOut, (t) =>
{
if (feedbackProgress != null)
{
feedbackProgress.value = t.CurrentValue;
}
});
}
// Check whether (in)correct sign has high accuracy
foreach (var kv in signPredictor.learnableProbabilities)
{
if (kv.Value > 0.90)
{
predictedSign = kv.Key;
// Correct sign
if (predictedSign == currentSign)
{
yield return new WaitForSeconds(1.0f);
CheckEquality(predictedSign);
timer = DateTime.Now;
predictedSign = null;
previousIncorrectSign = null;
}
// Incorrect sign
else
{
if (previousIncorrectSign != predictedSign)
{
timer = DateTime.Now;
previousIncorrectSign = predictedSign;
}
else if (DateTime.Now - timer > TimeSpan.FromSeconds(2.0f))
{
CheckEquality(predictedSign);
timer = DateTime.Now;
predictedSign = null;
previousIncorrectSign = null;
}
}
break;
}
}
}
else if (feedbackProgress != null)
{
feedbackProgress.value = 0.0f;
}
}
private void CheckEquality(string sign)
{
currentsign = sign;
}
}