Tools for Automated Video Analysis of Physical Activity and Response to Treatment for Improved Cancer Health

Direct observation of physical activity, including posture, physical therapy, and performance of physical tasks, is the current gold standard for classifying and assessing physical activity. However, labeling, and manually assessing such observations is time consuming and expensive. Thus, there is a need for automated, cost effective tools to extract information about human physical activity from video recordings. These tools could be used for research studies as well as for remote monitoring of functional status and recovery.

In this webinar, recipients of Phase II awards for NCI's SBIR Topic 425, Information Technology Tools for Automated Analysis of Physical Activity, Performance, and Behavior from Images for Improved Cancer Health will describe development and validation of software tools to extract information about physical activity, posture, and aspects of physical performance related to oncology and physical trauma recovery outcomes.

Reasonable Accommodations

Closed captioning will be available to all participants. Individuals who need reasonable accommodations to participate in this event should contact ncidccpsbrpadvances@mail.nih.gov. Requests should be made at least five business days in advance of the event.