Deep Learning-Enabled Vision-based ADL Object Localization for Assistive Technology

This research aims to develop and evaluate a vision-based approach for localizing objects used in activities of daily living (ADL). Specifically, the study aims to investigate the accuracy and precision of object localization using a pre-trained deep learning model and RealSense depth camera and to develop a mapping function that can align the camera's depth data with the pre-trained model's object detection results. The proposed approach is evaluated on various ADL objects in different real-world settings.

Source: Archives of Physical Medicine and Rehabilitation - April 1, 2024 Category: Rehabilitation Authors: Md Tanzil Shahria, Md Mahbubur Rahman, Md Ishrak Islam Zarif, Iysa Iqbal, Helal Uddin Ahmed, Jawher Ghommam, Sheikh Iqbal Ahamed, Inga Wang, Mohammad Rahman Tags: Research Poster 2443356 Source Type: research