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“Haptic Mirror Therapy Glove” is an interactive mirror therapy glove for the treatment of a paretic limb following a stroke.  It allows the user to stimulate the fingertips of their affected hand by tapping the fingers of their unaffected hand using force sensing resistors to trigger linear resonance actuators on the corresponding fingers.  The glove may potentially be useful to stroke survivors and their therapists by encouraging the development of new multi-sensory rehabilitation exercises, which might better help recover lost sensation and strength in their fingers.

This project concerns the analysis and design of a wearable technology garment intended to aid with the instruction of ballet technique to adult beginners. A phenomenological framework is developed and used to assess physiological training tools. Following this, a garment is developed that incorporates visual feedback inspired by animation techniques that more directly convey the essential movements of ballet.

Using a list of common approved and regulated psychiatric drugs and a Twitter dataset of 300M posts from 30K individuals, we develop machine learning models to assess effects relating to mood, cognition, depression, anxiety, psychosis, and suicidal ideation. We observe that usage of specific drugs are associated with characteristic changes in an individual’s psychopathology. We situate these observations in the psychiatry literature, with a deeper analysis of pre-treatment cues that predict treatment outcomes, and post-treatment linguistic markers correlated with positive outcomes.