A diverse and multi-modal gait dataset of indoor and outdoor walks acquired using multiple cameras and sensors.

ABSTRACT: Gait datasets are often limited by a lack of diversity in terms of the participants, appearance, viewing angle, environments, annotations, and availability. We present a primary gait dataset comprising 1,560 annotated casual walks from 64 participants, in both indoor and outdoor real-world environments. We used two digital cameras and a wearable digital goniometer to capture visual as well as motion signal gait-data respectively. Traditional methods of gait identification are often affected by the viewing angle and appearance of the participant therefore, this dataset mainly considers the diversity in various aspects (e.g., participants' attributes, background variations, and view angles). The dataset is captured from 8 viewing angles in 45° increments along-with alternative appearances fo

SUBMITTER: Topham LK 

PROVIDER: S-EPMC10220063 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature