About the Intelligent Human-Machine Systems (IMHS) laboratory
The Intelligent Human-Machine Systems (IHMS) Laboratory was founded by Professor Yingzi Lin at Northeastern University in August 2005, and it has been growing rapidly ever since. She and her lab members all aim to address the following research questions:
What if machines can recognize and respond to human physical states and/or emotions? How much can intelligent machines assist and improve human daily life? How better life would it be, if the most advanced sensing technology and novel human machine interfaces could be developed and applied? At the Intelligent Human-Machine Systems (IHMS) Laboratory, we are working hard to find such creative solution to develop intelligent machine systems that assist and interact with human operators, more naturally, friendly and efficiently.
Generally, there are three major objectives at IHMS lab:
1. Design and develop non-intrusive physiological sensors using advanced MEMS/NANO technology;
2. Fuse physiological signals, physical signals and human behaviors to infer the human mental and physical states and provide feedback;
3. Explore and create novel human assistance systems that function as mediator between machines and human operators — intelligent human machine interaction.
Types of projects we work on are quite different in nature. IHMS lab does not only focus on the technology behind the intelligent machine systems; but also pays attention to the needs from people, design systems for people and apply them to diverse areas, such as healthcare, transportation, communication, etc. We believe that technology should work for people, not the other way around. A few example projects we have been working on, are:
· Developing intelligent materials, that can be used to infer operator states through sensing of physiological parameters;
· Developing mathematical models to calculate perceive aesthetic of computer interface, and how this perceived can affect usability and performance;
· Recognizing facial expressions and how these are linked to emotional states, and modeling human-like facial expressions in computer interfaces;
· Developing alternative input devices to help people with disabilities overcome the accessibility issues they face when trying to use conventional computer interfaces;
· Researching driving behavior, performance and habits to develop intelligent Driving Assistance Systems (DAS) to actively increase driving safety;
· Exploring and creating novel human-computer interfaces by applying Encephalography (EEG) signals to generate affective computers.
Please use the tabs in the navigation bar on the left to visit the different pages of our lab. Here you can read more about our people, projects, activities, etc.
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