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EarMotion

Project Description:

EarMotion is an ear-based emotional analyzer for non-verbal individuals and their loved ones. Its design consists of a compact ear cuff integrating an in-ear EEG electrode alongside facial EMG electrodes to capture both neural and muscular activity associated with emotional states. Once acquired, these biosignals are processed, such as through additional noise filtering, feature extraction, and band-specific analysis. Emotions are classified through machine learning and based on the arousal-valence model. This data is relayed to a user-friendly mobile application, enabling caregivers and loved ones to better understand emotional cues and monitor emotional states from afar. By combining wearable neurotechnology with real-time signal processing and AI-driven classification, EarMotion aims to provide a more objective and accessible pathway for emotional communication in individuals with speech or communication impairments.

Project Photo:

A concept illustration of the EarMotion device on the right with the Earmotion logo on the left. The device is a light blue, ethereal ear cuff shaped like a butterfly wing, adorned with pearls and a small blue flower. Various wired sensors, including an EEG sensor and skin electrodes, are shown attached to the cuff. The EarMotion logo to the right is primarily dark blue with an ear icon behind a pulse line transitioning to a small smiling face.

EarMotion logo and device

Project Poster

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Project Poster Summary:

EarMotion is an ear-based emotional analyzer for non-verbal individuals and their loved ones. Its design comprises of a compact ear cuff with an in-ear EEG electrode and surrounding electrodes including facial EMG measurement. Signals are acquired, processed, and classified using machine learning before being realyed onto a user-friendly app. EarMotion stands out amongst other competitors, who may have bulkier, non-portable, or not health-focused devices.

Course Faculty