What is Brain Computer Interface (BCI)?
Brain Computer Interfaces (BCI) translate brain activity into commands that can be controlled by technology. There are several different types of BCIs. Our method primarily uses non-invasive based Augmenting Sensor Driven AI Assistive Technologies For Non-Verbal Communication in Paralyzed Patients. The first step to using this type of BCI is to train a computer to distinguish between a “command thought” from a neutral or “quiet” mind. Examples of command thoughts include thinking about jumping, swimming or moving in a wheelchair. Once the computer recognizes the pattern of the command thought, that thought can activate a computer command or an external device. This technology is non-invasive and safe. It doesn’t send out any signals to the brain and it definitely can’t hear your thoughts!
Our approach towards BCI.
Our research paper focuses on ethical considerations surrounding sensor-based communication methods for Paralytic patients with severe impairments. It also highlights the ethical challenges and considerations that arise when applying sensor-based communication systems for individuals with severe impairments. It shows the importance of providing effective sensory feedback through personalized approach with compact, flexible, and wearable technologies such as sensory gadgets. The findings mainly focus on real time sensory feedback generated by patient and initially what type of body parts can be integrated practically to optimize a better cater to the needs of paralytic patients. This research paper focuses on practical use of flexible, compact, and wearable sensor-driven AI assistive technologies for non-linguistic communication in Paralytic patients. The paper discusses sensors embedded with software applications to improve communication who have limited or no verbal abilities. The findings open the communication gateway to be more effective and personalized communication options for Paralytic patients, ultimately improving their quality of life interaction.
Authority, Appreciation and Recognition on BCI!
Our CTO and Sr. Research Scientist, Dr. Aditya R. Chandre has done PHD in Brain Computer Interface (BCI) with developing a non-invasive device from scratch during the research.
- Best PHD Dissertation Award 2024 by Acropolis Institute of Technology and Research, Indore.
- Certificate of Recognition during International Conference on ACROSET, IEEE – 2024
- Certificate of Recognition in International Conference on Frontiers in Material Engineering (ICFME)– 2022 by MEMS-IIT Indore.
- Research Paper publishing for Brain Waves in Department of Science and Technology, Vibrant Gujrat-2019.
- Certificate of Appreciation on Neuroplasticity, Artificial Intelligence & Electroencyphalography Signals in BCI by ICSTME-2019