AI for Happiness
This team will launch a digital platform at a community in need to improve its mental health at the individual and overall levels by developing a suite of smart connected health technologies, analytics, and models.
- Life, liberty, and the pursuit of happiness is a well-known phrase in the United States Declaration of Independence. While pursuit of happiness, exemplifies a “unalienable right”, incidence of mental illness (stress, anxiety, depression) is rising, which demands more from already deprived healthcare resource in this nation.
- Can AI make us happy? Do the benefits of developing AI outweigh the risks? This team will take a project-based learning approach to empower communities in need to combat various psychiatric and addiction disorders.
- Evidence suggests that mental health conditions are largely influenced by behaviors, events, and environment. From a past senior design project, we have developed a prototypical smartphone application that can be used to track subject’s smart phone app usage and GPS location patterns.
- The main activities include (2) developing an analytics and visualization suite for happiness related psychometrics; (2) developing the technology of AI-based cameras to measure care recipients’ and providers’ happiness; (3) developing a cloud-computing based back-end databasing solution with privacy concern; and (4) developing a smart phone based circle of trust type behavior nudging tool (I call it “Uber of healthcare”).
- If possible, you are also expected to launch a pilot cohort study with support from various local communities and non-profit organizations in desperate need of innovations from smart connected health technology and solution development.
-Relevant technologies: behavioral sensing, statistical machine learning, cloud computing, organizational psychology
-Prerequisite knowledge, skills, courses
-Some Android/IoS app coding experience
-Smartphone based back-end database programming
-Basic data mining/machine learning courses
Fall 2021 - Thursdays 2-2:50pm EE 013
Spring 2022 : Thursdays 2:00 - 3:50pm, EE 013