public void DoFallDetection(ModelOutput modelOutput, int[] mRow)
        {
            if (ML.DetectMovingDown(mRow) && (modelOutput.Prediction == 4))
            {
                fallRegistered = true;
                fallWarning();
            }

            if (fallRegistered)
            {
                getUpCounter++;
            }
            if (getUpCounter > 1)
            {
                if (GetEvent(modelOutput.Score[1]) || GetEvent(modelOutput.Score[2]) || GetEvent(modelOutput.Score[3]))
                {
                    fallNotDetected();
                    fallRegistered = false;
                    getUpCounter   = 0;
                }
                else if (getUpCounter == 10)
                {
                    //Fall detected raise alarm
                    fallDetected();
                }
            }
        }
Example #2
0
        /// <summary>
        /// Called once in a second
        /// </summary>
        /// <param name="inputRow"></param>
        private void DoMachineLearning(int[] inputRow, string file, bool isPredicting)
        {
            try
            {
                if (previousInputRow == null)
                {
                    previousInputRow = new int[32];

                    inputRow.CopyTo(previousInputRow, 0);
                    return;
                }
                DateTime dtNow = DateTime.Now;

                movementRow = new int[32];
                for (int i = 0; i < 32; i++)
                {
                    movementRow[i] = inputRow[i] - previousInputRow[i];
                }
                if (Properties.Settings.Default.MovementRow)
                {
                    AddInfo(string.Join(",", movementRow));
                }

                inputRow.CopyTo(previousInputRow, 0);

                if (isPredicting)
                {
                    SetUpFallDetection();
                    ModelOutput modelOutput = ML.Predict(CalibratedInputRow(inputRow), movementRow);
                    ShowMLPrediction(modelOutput);
                    fallDetection.DoFallDetection(modelOutput, movementRow);
                }
                else if (trainingItem != MLTraining.FALLING || ML.DetectMovingDown(movementRow))
                {
                    if (trainingItem == MLTraining.FALLING)
                    {
                        AddInfo("Moving down detected");
                    }
                    File.AppendAllText(file, (int)trainingItem + "\t" + string.Join("\t", CalibratedInputRow(inputRow)) + "\t" + string.Join("\t", movementRow) + Environment.NewLine);
                }
            }
            catch (Exception ex)
            {
                AddInfo("Error training: " + ex.Message);
            }
        }