Baby&Me aims to reduce anxiety for expecting mothers. It consists of a mobile app and a hardware system to track key indicators, painting a picture of the pregnancy over time. Some of these indicators are fetal kicks, the mother’s mood, stress level, and blood oxygen saturation. The app also offers the users insights into their personal health trends, and support for their concerns. The mother’s health data can then be easily exported and shared with family members or healthcare providers.

Rising GHG emissions from the residential sector, coupled with increasing electricity costs provides homeowners with an incentive to monitor and reduce their electricity usage. PanelIQ is our affordable solution for homeowners to monitor and control their electricity usage via a system which installs onto existing circuit breaker panels. This system provides energy usage data which can be accessed through a mobile app, and allows homeowners to toggle branch-level circuits via physical actuators based on various conditional scenarios which can be specified in the app.

Harmful Algae Blooms are seasonal destructive events that cause large economical damage and can pose a risk to human health. We have developed a data platform that would enable researchers to view watershed data from remotely sensed sources (ie. weather) and add their in-situ measurements at sites of interest so that they can more accurately track and forecast the impact of such events.

Research indicates at-home physiotherapy exercise plans have adherence below 50%, which may negatively affect treatment effectiveness, duration and cost of care. Vysio seeks to solve this issue by introducing accountability through increased data visibility between clients and physiotherapists. Physiotherapists create, assign and monitor the completion of at-home exercise plans using a web-based application. Clients complete at-home sessions using an iOS application, a wearable device and their smartphone camera, where their activity is classified, aggregated, and displayed in real-time to validate exercise plan adherence.

The objective of this project is to develop a mechanical device that applies different types of static and cyclic compressive loads to in-vitro human osteoblast and osteoclast cell cultures, in order to accurately represent and study the cell-material interactions. In applying this device to medical models, this project has the potential to further the development of new biomaterials for bone allografts that could be used in the repair of critically sized segmental bone defects, which tend to be too large to repair themselves.

Our project addresses the need for a cost-efficient and space-efficient automated tube notching machine for student design shops and other small workshops. We are developing a CNC pipe notcher to ease the fabrication of tube and pipe structures. With an easy-to-use user interface the machine cuts thin-walled tubes using a rotating pipe grip and a perpendicular mounted endmill.