Developing a Novel Physiologically Driven Life Optimization Engine

Recent studies show that chronic stress levels have increased by 30% in the last 3 decades[1]. The objective of this project is to place humans at the center of a new mobile-based platform called the Life Optimization Engine (LION). The goal is to optimize human performance via self-modulation through physiological feedback programs. LION will use machine learning to identify and analyze signatures in key biometrics captured by MagniWares novel bio-sensor (e.g. heart rate, heart rate variability, breathing rate, temperature, movement). We expect to identify a number of classification systems and discover a number of latent correlations between human behaviour and physiology (e.g. stress, focus, cardiovascular health, etc). Benjamin and Chris will apply their skills in order to develop LION and refine the MagniWare bio-sensing capabilities respectively. This research project is of relevance to MagniWare as it is core to the development of its technologies.

Faculty Supervisor:

Paul Yoo

Student:

Chris Elder

Partner:

MagniWare Ltd.

Discipline:

Engineering - biomedical

Sector:

Medical devices

University:

University of Toronto