Validation of Smart Garments for Gait Classification

Validation of Smart Garments for Gait and Balance Assessment

The aim of this study is therefore to validate Myant SKIIN garments for the purpose of gait and balance assessment. To achieve this, we recruit young healthy adults from the University of Waterloo to wear Skiin products (see Fig. 1). Participants will be asked to perform a number of scripted gait and balance tasks.

Specific objectives of this study are:

1. To validate Skiin gait characterization algorithm (based on single garment solutions - already developed based on a literature and a previous study conducted at the University of Waterloo);
2. To develop algorithms for multi-garments solutions that aim to extract additional kinematic parameters such as joint angles.

Gait metrics from Skiin garments will be compared to metrics from a gold standard measurement (Vicon motion capture) to indicate accuracy, precision and reliability.

Inclusion Criteria:

- Healthy male and female adults aged 18y - 64y old

Exclusion Criteria:

- Self-reported lower limb conditions, neurological disorders, history of concussion/brain trauma, and/or condition limiting exercise is to mitigate additional risk for injury and/or adverse reactions associated with exercise.