This study investigates the development of new tools to monitor mental states through various methods. It includes the use of a skin-like wearable sensor for physiological and biochemical sensing, as well as a virtual human platform for social interaction. The focus is on understanding mental states through these innovative tools in both healthy individuals and patients with epilepsy.

Participants will undergo procedures involving audiovisual affect recognition and synchronization tools. For those with drug-resistant epilepsy, data will be collected through existing intracranial EEG electrodes, which are already in place for clinical reasons unrelated to this study. These procedures aim to gather comprehensive data to model mental states using machine learning methods.

• Who can participate: Healthy individuals over the age of 18 who can give informed consent are eligible. Patients with drug-resistant epilepsy who have existing intracranial EEG electrodes and are 18 or older can also participate.
• Study details: Participants will engage with a virtual human platform and use wearable sensors for data collection. For epilepsy patients, existing intracranial EEG electrodes will be used to gather additional data.