def create_objects(self):
## DEFINE PARAMETERS ###########
self.CharSet = 'lowerCaseLiterals'
self.CharactersPerMessage = 5
self.SourceEncodeMethod = 'basic'
self.errorCorrection = 'HardHamming'
self.FEC_Size = 7
self.FEC_msg = 4
# Choose frequencies matching those on the sender side exactly from set:
# [23.26, 23.81, 24.39, 25, 25.64, 26.36, 27.03, 27.78, 28.57, 29.41, 30.30, 31.25, 32.26, 33.33,
# 34.48, 35.71, 37.04, 38.46 ]
self.TransmissionFrequenciesIdeal = [
23.26, 25, 26.36, 27.78, 28.57, 30.30, 31.25, 33.33
]
self.TimePerSymbolSeconds = 4
self.ChannelSource = 'Emokit'
self.FlushBuffer = True
self.Electrodes = ['O1', 'O2', 'P7', 'P8']
self.DetectionMethod = 'PSDA'
self.DecisionType = 'HARD'
self.syncMethod = 'HeaderV2' #'HeaderV2'
self.FileWrite = False
self.readFileName = '20171009-182912.csv'
###########################
self.TransmissionFrequenciesActual = FD.mapToClosestFrequencies(
self.TransmissionFrequenciesIdeal, 128 * self.TimePerSymbolSeconds)
print(self.TransmissionFrequenciesActual)
self.EEGChannel = CH.Channel(self.ChannelSource,
self.Electrodes,
WriteToFile=self.FileWrite,
ReadFile=self.readFileName,
useHeader=False,
holdFreq=28.57,
headerFreq=30.30,
startThreshold=300,
startThresholdRelative=0.8,
crossoverThresholdRelative=0.5)
self.Detector = RL.DetectionObject(self.DetectionMethod,
self.TransmissionFrequenciesActual,
None, self.Electrodes,
self.TimePerSymbolSeconds,
self.DecisionType)
self.CharSet = RL.loadCharacterSet(self.CharSet)
self.CD = RL.ChannelDecoder(self.errorCorrection, 'HARD',
self.FEC_Size, self.FEC_msg)
self.SD = RL.sourceDecoder(self.CharSet, self.SourceEncodeMethod)
self.recordTime = RL.calculateRecvTime(
self.TimePerSymbolSeconds, len(self.TransmissionFrequenciesActual),
self.FEC_Size, self.FEC_msg, self.CharactersPerMessage,
len(self.CharSet))
print(self.recordTime)
self.recordTime = int(self.recordTime)
def create_objects(self): self.CharSet = 'lowerCaseLiterals' self.CharactersPerMessage = 7 self.SourceEncodeMethod = 'basic' self.errorCorrection = 'HardHamming' self.FEC_blockSize = 15 self.FEC_msgSize = 11 ########################### self.ValidDictionary = IL.loadCharacterSet(self.CharSet) self.InputValidationObject = IL.InputValidation(self.ValidDictionary,self.CharactersPerMessage) self.SrcEncoder = IL.SrcEncoder(self.ValidDictionary , self.SourceEncodeMethod) self.FEC = IL.ChannelEncoder(self.errorCorrection, self.FEC_blockSize , self.FEC_msgSize) ################################ self.CharSet = RL.loadCharacterSet(self.CharSet) self.CD = RL.ChannelDecoder(self.errorCorrection,'HARD', self.FEC_blockSize, self.FEC_msgSize) self.SD = RL.sourceDecoder(self.CharSet, self.SourceEncodeMethod)
TransmissionFrequenciesIdeal, 512)
Channel = CH.Channel(ChannelSource,
Electrodes,
fileWrite,
useHeader=True,
holdFreq=28.57,
headerFreq=30.30,
startThreshold=300,
startThresholdRelative=0.8,
crossoverThresholdRelative=0.5)
DetectorCCA = RL.DetectionObject('CCA', actualFrequencies, None,
Electrodes, TimePerSymbolSeconds,
DecisionType)
DetectorPSDA = RL.DetectionObject('PSDA', actualFrequencies, None, ['O1'],
TimePerSymbolSeconds, DecisionType)
chnDecoder = RL.ChannelDecoder(errorCorrection, 'HARD', FEC_Size, FEC_msg)
srcDecoder = RL.sourceDecoder(CharSet, SourceEncodeMethod)
recordTime = RL.calculateRecvTime(TimePerSymbolSeconds,
len(actualFrequencies), FEC_Size,
FEC_msg, CharactersPerMessage,
len(CharSet))
recordTime = int(recordTime)
while True:
run = raw_input('Enter Run Number: ')
path = TL.makePath(user, testType, run)
Channel.setFileName(path + '\\raw.csv')
Channel.gaze_detect()
Channel.threshold_detect()
TL.quickRunReceiver(path, Channel, DetectorCCA, DetectorPSDA,
chnDecoder, srcDecoder, recordTime,
def RunReciever( data_file, results_file , config_parameters, test_option ):
# function which will execute a run of the emotiv reciever
channel = Channel.Channel(config_parameters["CHANNEL_SOURCE"], config_parameters["ELECTRODES"], config_parameters["FILE_WRITE"],\
holdFreq= HOLD_FREQUENCY, headerFreq = HEADER_FREQUENCY ,startThreshold= START_THRESHOLD ,\
startThresholdRelative= START_THRESHOLD_RELATIVE,\
crossoverThresholdRelative= CROSSOVER_THRESHOLD_RELATIVE )
detectorCCA = Reciever.DetectionObject("CCA", config_parameters["TRANSMISSION_FREQUENCIES"], None, config_parameters["ELECTRODES"], config_parameters["TIME_PER_SYMBOL"],config_parameters["DECISION_TYPE"])
detectorPSDA = Reciever.DetectionObject("PSDA", config_parameters["TRANSMISSION_FREQUENCIES"], None, config_parameters["ELECTRODES"][0], config_parameters["TIME_PER_SYMBOL"],config_parameters["DECISION_TYPE"])
channelDecoder = Reciever.ChannelDecoder(config_parameters["ERROR_CORRECTION"],"HARD",\
config_parameters["FEC_BLOCK_SIZE"], config_parameters["FEC_MESSAGE_SIZE"])
characterSet = Reciever.loadCharacterSet(config_parameters["CHARACTER_SET"])
sourceDecoder = Reciever.sourceDecoder(characterSet,config_parameters["SOURCE_ENCODER"])
#calculate the record time
recordTime = Reciever.calculateRecvTime(config_parameters["TIME_PER_SYMBOL"],\
len( config_parameters["TRANSMISSION_FREQUENCIES"] ),\
config_parameters["FEC_BLOCK_SIZE"],\
config_parameters["FEC_MESSAGE_SIZE"],\
config_parameters["CHARACTERS_PER_MESSAGE"],\
len(characterSet))
print('calculated record time is: '+ str(recordTime))
# need to now do the actual recording here
# channel.setFileName(data_file)
raw_input("ready ... press Enter to Start")
if config_parameters["SYNC_METHOD"] == 'HeaderV2':
print('--- DETECTING GAZE ----')
channel.gaze_detect()
print('--- GAZE DETECTED ----')
channel.threshold_detect()
print('--- THRESHOLD DETECTED ----')
else:
channel.waitForStart(config_parameters["SYNC_METHOD"])
recordStartTime = time.time()
symbolsToCapture = int(float(recordTime)/float(config_parameters["TIME_PER_SYMBOL"]))
print("--- DATA RECORDING STARTED --- " + str(recordStartTime))
channel.flushBuffer()
symbolsCCA = []
symbolsPSDA = []
Data = numpy.zeros((0, len(config_parameters["ELECTRODES"])))
for symbol in range(symbolsToCapture):
print("Getting Symbol "+str(symbol)+'. . . .')
DataBlock = channel.getDataBlock(int(config_parameters["TIME_PER_SYMBOL"]),False)
Data = numpy.concatenate([Data, DataBlock])
print( 'Number of samples collected: ' + str(len(DataBlock)))
symbolsPSDA.append(detectorPSDA.getSymbols(DataBlock)[0])
symbolsCCA.append(detectorCCA.getSymbols(DataBlock)[0])
print('psda symbol vector :' + str(symbolsPSDA))
print('cca symbol vector :' + str(symbolsCCA))
if int(recordTime) != 0:
intCCA = Reciever.Demapper(symbolsCCA, len(config_parameters["TRANSMISSION_FREQUENCIES"] ),'HARD')
intPSDA = Reciever.Demapper(symbolsPSDA,len(config_parameters["TRANSMISSION_FREQUENCIES"] ),'HARD')
encodedCCA = channelDecoder.de_interleave(intCCA)
encodedPSDA =channelDecoder.de_interleave(intPSDA)
binaryCCA = channelDecoder.Decode(encodedCCA)
binaryPSDA = channelDecoder.Decode(encodedPSDA)
StringCCA = sourceDecoder.Decode(binaryCCA)
StringPSDA = sourceDecoder.Decode(binaryPSDA)
print('Message Recieved from the CCA reciever '+StringCCA)
print('Message Recieved from the PSDA reciever '+StringPSDA)
successful = raw_input("Was this a successful run (Y/n): ")
comments = raw_input("Provide any comments on the trial here: \n")
results = {}
results["SUCCESSFUL"] = successful
results["COMMENTS"] = comments
results["CONFIGURATION"] = config_parameters
results["RECORD_START_TIME"] = recordStartTime
if test_option != 'protocol_only':
results["INTERLEAVED_CCA"]= intCCA
results["INTERLEAVED_PSDA"]= intPSDA
results["ENCODED_CCA"]= encodedCCA
results["ENCODED_PSDA"]= encodedPSDA
results["BINARY_CCA"]= binaryCCA
results["BINARY_PSDA"]= binaryPSDA
results["STRING_PSDA"]= StringPSDA
results["STRING_CCA"]= StringCCA
print(results)
with open(results_file, 'w') as outfile:
json.dump(results, outfile)
with open(data_file,'w') as outfile:
outfile.write(Data)
data_file = open(data_file,'w')
writer = csv.writer(data_file)
for i in range(len(Data)):
writer.writerow(Data[i])
data_file.close()