HIT centre is equipped with several systems that allow the aquisition and elaboration of psychophysiological signals resulting from the activities of both the central nervous system (electroencephalographic signals) and the peripheral nervous system (e.g. heart rate, electrodermal activity, respiration rate).

A compact 32-channel physiologic signal amplifier system (Mobita® from TMSi) utilized to record the electroencephalographic signal. The amplifier is equipped with integrated WiFi connectivity, and this makes the system perfectly suitable for mobile EEG (electroencephalogram) or BCI applications. Furthermore, the system allows, through some adaptors, to record other physiological signals as the heart rate, the EMG (electromyographic signal) and the EDA (electrodermal activity).
A multiple-channel device (ProComp5 Infiniti™ from Thought Technology Ltd.) for physiological data acquisition. The system is utilized to aquire EDA and EMG signals coming from surface sensors. The system transmits the digitized signals to the host computer either via a fiber optic cable, or through a Bluethooth transmitter. This makes the system suitable to be utilized also in mobility, for instance in user experience investigations.
A wearable wellness system (from Smartex) to continuously record the heart rate and respiration rate while moving. The system includes: (a) several sensorized t-shirts each with 2 ECG textile electrodes and a respiration sensor; (b) an electronic device dedicated to the acquisition, the processing, the transmission of the data to the host computer; this device is also equipped with an accelerometer for recording movements and steps; (c) a software to manage and visualize the acquired data.
FaceReader automatically analyzes 6 basic facial expressions (happy, sad, scared, disgusted, surprised, and angry), as well as classifying neutral. It also measure the arousal state of the users. It also calculates gaze direction head orientation and person characteristics. FaceReader 6 also provides gaze direction, head orientation, and person characteristics, such as gender and age. The software immediately analyzes data (live, video, or still images) saving valuable time.
The e-Health Sensor Platform V2.0 allows Arduino users to acquire the main physiological indices (e.g. EDA, EMG, ECG, etc…) in order to use them in medical and research applications. Furthermore, it allows to collect and send data to a specific Cloud in order to analyze, process and display information in real time.
A 14 channels wireless EEG system (EMOTIV Epoc). This system is equipped with a 14 channels neuroheadset that allows to record EEG signals using wireless technology. The headset has also an accelerometer that allows to track the head position and movements. Moreover, a SDK package permits to customize the application of the headset allowing the use of the system in various types of experiments and tests.
This device is a custom-made, wearable, and wireless sensor glove. It provides the possibility to record the electrodermal activity (EDA) as well as the movements of the fingers. This tool is able to acquire the above-mentioned data at a sampling rate of 100 Hz.