Laboratory Infrastructure

The ACS Lab was inaugurated on 19th September, 2014 at the Academic Block (Vallabh College Campus), Indian Institute of Technology Mandi, India. On 26th March, 2016, the lab moved to Bamboo Block B (B-08) on Institute’s main campus at Kamand. Lab members come from different fields which include computer engineering, electrical engineering, mechanical engineering, civil engineering, and humanities and social sciences. The ACS Lab contains a high-speed network of several computing machines for experimentation and modeling. Mentioned below is some of the laboratory infrastructure at ACS Lab.

32-channel EEG/ERP system (Geodesic EEG System 405)

The lab has a 32-channel EEG/ERP system from Electrical Geodesics Inc. (EGI). The system includes: 32-EEG channel Geodesic Sensor Nets, Net Amps 400 amplifier with remote upgrade abilities, sampling rate up to 1000 Hz, Net Station 5 EEG acquisition and review software, MacBook Pro, iMac or Mac Pro computer, and hospital grade isolation transformer. Using a net structure to hold the electrodes in place, Geodesic EEG allows all 32-electrodes to be applied simultaneously. The Net Station 5 software features an intuitive interface for fast EEG data acquisition and review. The Geodesic EEG system provides superior whole head coverage over traditional caps while including the standard 10/20 sensor arrays. The clinical applications for the EEG system include: Routine EEG, Long-term monitoring, Pediatric neurology, and Neuroimaging. At ACS Lab, the system is being used to develop neural correlates to behavioral data in several decision-making tasks.

Emotiv® 14-channel EEG/ERP headset

Emotiv® 14-channel EEG/ERP headset is an award winning 14-channel EMOTIV EEG system designed for contextualized research and advanced brain computer interface (BCI) applications. The EMOTIV EEG headset provides access to dense array, high quality, raw EEG data using our subscription based software. At ACS Lab, the EMOTIV EEG headset is being used to develop for BCI-related HCI projects like a BCI-operated smart-home application.