BIRD Current Research Projects

Overview

The building blocks of prosthetics come in many materials, shapes, and sizes. To create lightweight yet sturdy prosthetics, we explore 3D printing in plastic, carbon fiber, steel, and titanium. In addition, we investigate different methods of actuation such as miniature 3D printed gearboxes for fingers and twisted coil polymers. While some of these parts may look like something out of Star Wars, these are more than just computer-generated images. These prosthetics are real and they work for real people.  

Wirelessly Detecting a Fall in Real-Time From a Standing Position by a Long-Term Care Resident with Dementia

Date: 7/9/19 - 7/9/19
Principal Researchers:

Dr. Cathy Bodine

Others Involved: Gavin Phillips Student Researchers: Mackenzie Christensen (Former Masters Student) Funding: Capsule (formerly Qualcomm Life)

In 2010, there were 35.6 million people worldwide living with some form of dementia. This number is expected to increase to 65.7 million worldwide by 2030 and 115.4 million by 2050. This growing population of people living with dementia faces a common challenge - falls. This includes not only addressing the injuries resulting from a fall, but being aware a fall occurred at all. The device developed through this project seeks to monitor the position of a long-term resident living with dementia and automatically report, in real-time, when a fall has occurred. Further extension of the device will allow it to detect the type and direction of each fall, information that is vital in proper treatment.

BIRD Past Research Projects

Wirelessly Detecting a Fall in Real-Time From a Standing Position by a Long-Term Care Resident with Dementia

Date: 7/9/19 - 7/9/19
Principal Researchers:

Dr. Cathy Bodine

Others Involved: Gavin Phillips Student Researchers: Mackenzie Christensen (Former Masters Student) Funding: Capsule (formerly Qualcomm Life)

In 2010, there were 35.6 million people worldwide living with some form of dementia. This number is expected to increase to 65.7 million worldwide by 2030 and 115.4 million by 2050. This growing population of people living with dementia faces a common challenge - falls. This includes not only addressing the injuries resulting from a fall, but being aware a fall occurred at all. The device developed through this project seeks to monitor the position of a long-term resident living with dementia and automatically report, in real-time, when a fall has occurred. Further extension of the device will allow it to detect the type and direction of each fall, information that is vital in proper treatment.