Wearable RGB Camera Images of Human Locomotion Environments

Wearable RGB Camera Images of Human Locomotion Environments

Citation Author(s):
Brock
Laschowski
University of Waterloo
William
McNally
Alexander
Wong
John
McPhee
Submitted by:
Brock Laschowski
Last updated:
Tue, 01/21/2020 - 08:21
DOI:
10.21227/gq8k-j644
Data Format:
Links:
License:
Dataset Views:
447
Share / Embed Cite
Abstract: 

 

This RGB image dataset was collected using a wearable camera system and intended for image classification of different walking environments conducive to controlling lower-limb prostheses and exoskeletons. Approximately 34,254 images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, McPhee J, and Wong A. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics, pp. 868-873. DOI: 10.1109/ICORR.2019.8779540.

Instructions: 

 

One subject was instrumented with a battery-powered, chest-mounted RGB camera system (GoPro Hero4 Session). The subject walked around the university campus while collecting images throughout unknown outdoor and indoor environments with variable lighting, occlusions, signal noise, and intraclass variations. Data were collected at various times throughout the day, therein accounting for different lighting conditions. The sampled field-of-view was approximately 3 meters ahead of the subject. Images were collected at 60 frames/second with a 1280×720-pixel resolution. Approximately 10 hours of video footage (i.e., amounting to 2,055,240 images) were collected throughout ten, 1-hour walking sessions. The dataset includes 10 individual folders, each corresponding with one data collection session. Since there were minimal differences between consecutive images at 60 frames/second, the dataset was downsampled to 1 frame/second. Images were cropped to 1:1 aspect ratios and resized to 224x224 pixel resolutions using bilinear interpolation.

Overall, 34,254 sampled images were manually labelled, including 27,030 for level-ground environments, 3,943 for incline staircases, and 3,281 for decline staircases. For transitions from staircases to level-ground environments, the images were labelled as staircases whenever the staircase was visible inside the sampled field-of-view. For transitioning from level-ground to staircase environments, the images were labelled as staircases provided that the subject was within 1-2 steps and forward-facing the staircase. The images were labelled by one designated researcher for consistency. The image files were labelled “imagenumber_0” for level-ground environments, “imagenumber_1” for incline staircases, and “imagenumber_2” for decline staircases. Prospective users are welcomed to implement their own labelling schemes. 

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort!

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] Brock Laschowski, William McNally, Alexander Wong, John McPhee, "Wearable RGB Camera Images of Human Locomotion Environments", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/gq8k-j644. Accessed: Jan. 21, 2020.
@data{gq8k-j644-19,
doi = {10.21227/gq8k-j644},
url = {http://dx.doi.org/10.21227/gq8k-j644},
author = {Brock Laschowski; William McNally; Alexander Wong; John McPhee },
publisher = {IEEE Dataport},
title = {Wearable RGB Camera Images of Human Locomotion Environments},
year = {2019} }
TY - DATA
T1 - Wearable RGB Camera Images of Human Locomotion Environments
AU - Brock Laschowski; William McNally; Alexander Wong; John McPhee
PY - 2019
PB - IEEE Dataport
UR - 10.21227/gq8k-j644
ER -
Brock Laschowski, William McNally, Alexander Wong, John McPhee. (2019). Wearable RGB Camera Images of Human Locomotion Environments. IEEE Dataport. http://dx.doi.org/10.21227/gq8k-j644
Brock Laschowski, William McNally, Alexander Wong, John McPhee, 2019. Wearable RGB Camera Images of Human Locomotion Environments. Available at: http://dx.doi.org/10.21227/gq8k-j644.
Brock Laschowski, William McNally, Alexander Wong, John McPhee. (2019). "Wearable RGB Camera Images of Human Locomotion Environments." Web.
1. Brock Laschowski, William McNally, Alexander Wong, John McPhee. Wearable RGB Camera Images of Human Locomotion Environments [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/gq8k-j644
Brock Laschowski, William McNally, Alexander Wong, John McPhee. "Wearable RGB Camera Images of Human Locomotion Environments." doi: 10.21227/gq8k-j644