Emotiv Insight

Emotiv Insight is a wearable headset capable of reading 8 channels Electroencephalography (EEG) signals (e.g., AF3, AF4, T7, T8, and Pz). The sampling rate of each channel is 128 samples per second with 14 bits resolution. It has an 9-axis inertial measurement unit (IMU) sensor to detect head motions. Since it has lightweight and user-friendly design, many affective researchers utilize it to measure the EEG signal from a human body.

• Official website: https://www.emotiv.com

Requirments

1) Emotiv Pro License update in user details ‘’’’’

Emotiv License Information (you should have the emotiv license from emotiv website)

user_details = { “license” : “your emotivpro license, which could use for third party app”, “client_id” : “your client id”, “client_secret” : “your client secret”, “debit” : 100 }

3) Install Emotiv App (Ubuntu version)

Node Informations

1) Node name: emotiv_insight_node 2) Parameters:

• Sensor_Enable : boolean data type (i.e., True or False), activating the sensor or not.
• Chunk_Enable : boolean data type (i.e., True or False), activating the sensor or not.
• Chunk_Length : a integer data type (default= 128), adjusting data length per topic.

Topic Information

Raw data

1) biosensors/emotiv_insight/eeg :

• type: standard_msg/Float32MultiArray
• size: 1-by-8 float array
• detail: [COUNTER,INTERPOLATED,AF3,T7,Pz,T8,AF4,RAW_CQ] 2) biosensors/emotiv_insight/pow :
• type: standard_msg/Float32MultiArray
• size: 1-by-25 float array
• detail: [AF3/theta, AF3/alpha, AF3/betaL, AF3/betaH, AF3/gamma, T7/theta, T7/alpha, T7/betaL, T7/betaH, T7/gamma, Pz/theta, Pz/alpha, Pz/betaL, Pz/betaH, Pz/gamma,T8/theta, T8/alpha, T8/betaL, T8/betaH, T8/gamma, AF4/theta, AF4/alpha, AF4/betaL, AF4/betaH, AF4/gamma] 3) biosensors/emotiv_insight/met :
• type: standard_msg/Float32MultiArray
• size: 1-by-7 float array
• detail: [Engagement_data, Excitement_data, Long_term_excitement_data, Stress_Frustration_data, Relaxation_data, Interest_Affinity_data, Focus_data] 4) biosensors/emotiv_insight/mot :
• type: standard_msg/Float32MultiArray
• size: 1-by-10 float array
• detail: [“Q0”,”Q1”,”Q2”,”Q3”,”ACCX”,”ACCY”,”ACCZ”,”MAGX”,”MAGY”,”MAGZ”] 5) biosensors/emotiv_insight/dev:
• type: standard_msg/Float32MultiArray
• size: 1-by-9 float array
• detail: [Battery, Signal, AF3_Signal, T7_Signal, Pz_Signal, T8_Signal, AF4_Signal, OVERALL_Signal, BatteryPercent]

Chunk Data

1) biosensors/emotiv_insight/eeg_chunk:

• type: standard_msg/Float32MultiArray
• size: 128-by-8 float array
• detail: [COUNTER,INTERPOLATED,AF3,T7,Pz,T8,AF4,RAW_CQ]; … 2) biosensors/emotiv_insight/pow_chunk :
• type: standard_msg/Float32MultiArray
• size: 128-by-8 float array
• detail: [AF3/theta, AF3/alpha, AF3/betaL, AF3/betaH, AF3/gamma, T7/theta, T7/alpha, T7/betaL, T7/betaH, T7/gamma, Pz/theta, Pz/alpha, Pz/betaL, Pz/betaH, Pz/gamma,T8/theta, T8/alpha, T8/betaL, T8/betaH, T8/gamma, AF4/theta, AF4/alpha, AF4/betaL, AF4/betaH, AF4/gamma]

Test the Node using Launch file

$ros2 launch emotiv_insight ros2-emotiv_insight.launch.py

Example of Published Topic Data