# TOPIC 425 - AUTOMATED MOTION EXTRACTION AND ANALYSIS TO QUANTIFY PATIENT PERFORMANCE STATUS

> **NIH NIH N43** · CANSERA, INC. · 2022 · $1,937,947

## Abstract

The Karnofsky score (1948) and the Eastern Cooperative Group ECOG PS (1982) are the standard for patient PS assessment and used as a key determinant for entry into a clinical trial and the initiation or continuation of any interventional therapy. Cansera has demonstrated using image analysis of footage from RGB-D cameras to quantify PS as a predictive biomarker in cancer care. RGB-D cameras captured patients performing a physical task in a clinic and patient movement is analyzed to predict PS. The phase I SBIR proposal will address the following technical challenges: 1) creating a reproducible method for data acquisition and extraction from RGB-D cameras; 2) developing a strategy for anonymizing RGB-D image dataset for an open access library; and 3) establishing requirements and designing for different user groups. The successful completion of the project will enable commercial application for a reproducible anonymized method for data acquisition and image capture using a RGB-D camera to objectively
measure human performance providing a quantitative solution.

## Key facts

- **NIH application ID:** 10647610
- **Project number:** 75N91021C00051-P00002-9999-1
- **Recipient organization:** CANSERA, INC.
- **Principal Investigator:** LUCIANO NOCERA
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,937,947
- **Award type:** —
- **Project period:** 2021-09-15 → 2024-06-14

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10647610

## Citation

> US National Institutes of Health, RePORTER application 10647610, TOPIC 425 - AUTOMATED MOTION EXTRACTION AND ANALYSIS TO QUANTIFY PATIENT PERFORMANCE STATUS (75N91021C00051-P00002-9999-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10647610. Licensed CC0.

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