Towards a Low-Cost Solution for Gait Analysis Using Millimeter Wave Sensor and Machine Learning.

Human Activity Recognition (HAR) that includes gait analysis may be useful for various rehabilitation and telemonitoring applications. Current gait analysis methods, such as wearables or cameras, have privacy and operational constraints, especially when used with older adults. Millimeter-Wave (MMW) radar is a promising solution for gait applications because of its low-cost, better privacy, and resilience to ambient light and climate conditions.

Measuring the Feasibility and Effectiveness of an Individualized Exercise Program Delivered Virtually to Cancer Survivors.

In the spring of 2020, we faced a global pandemic that resulted in social distancing limitations not previously experienced, forcing practitioners to adapt exercise programming to a virtual model. The purpose of this investigation was to measure the effectiveness of a virtual exercise oncology program in 491 participants undergoing antineoplastic therapy between March and June 2020. Each session was completed virtually with a certified exercise oncology trainer.