Smart Home Control

This project features a smart home platform, where all the IoT devices inside (lights, microwave, TV) can be turned on/off using brain signals (EEG). This platform is of the interest to both able-bodied but also users with health challenges like ALS, Parkinson or Cerebral Palsy.

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Smart homes have been an active area of research, however despite considerable investment, they are not yet a reality for end-users. Moreover, there are still accessibility challenges for the elderly or the disabled, two of the main potential targets for home automation. In this exploratory study we designed a control mechanism for smart homes based on Brain Computer Interfaces (BCI) and apply it in the smart home platform in order to evaluate the potential interest of users about BCIs at home. We enable users to control lighting, a TV set, a coffee machine and the shutters of the smart home. We evaluated the performance (accuracy, interaction time), usability and feasibility on 12 healthy subjects and 2 disabled subjects and reported the results.

We have performed our study at The “Domus” smart home which  is part of the experimentation platform of the Laboratory of Informatics of Grenoble. “Domus” is a fully functional 40 meters square flat with 4 rooms, including a kitchen, a bedroom, a bathroom and a living room. The flat is equipped with 6 cameras and 7 microphones to record audio, video and to monitor experiments from a control room connected to “Domus.”

The flat is equipped with a set of sensors and actuators using the KNX (Konnex) home automation protocol. The sensors monitor data for hot and cold water consumption, temperature, CO2 levels, humidity, motion detection, electrical consumption and ambient lighting levels. Each room is also equipped with dimmable lights, roller shutters (plus curtains in the bedroom) and connected power plugs that can be remotely actuated.

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Research and Publications