Test dataset release:
15 Dec, 2018 03 Jan, 2019
15 Dec, 2018 03 Jan, 2019
Prediction results submission deadline: 1 Feb, 2019
Results announce: 2 Feb, 2019
Dr. Trung Thanh Ngo, Osaka University
Prof. Md Atiqur Rahman Ahad, Osaka University
Assoc. Prof. Daigo Muramatsu, Osaka University
Assoc. Prof. Yasushi Makihara, Osaka University
Prof. Yasushi Yagi, Osaka University
Assoc. Prof. Sozo Inoue, Kyushu Institute of Technology
Tahera Hossain, Kyushu Institute of Technology
Anindya Das Antar, Dept. of EEE, University of Dhaka
Masud Ahmed, Dept. of EEE, University of Dhaka
Yuichi Hattori, Kyushu Institute of Technology
Recently, wearable computing resource, such as smartphone, is developing so quickly. People are using smartphone for communication, entertainment, business, travelling, browsing information. Although it has a huge benefit if we can use such wearable computing resource to support people life, the healthcare application is very limited. We would like to break the limitation and boost up the research to support human health. One of the important step for a healthcare system is to understand age and gender of the user who is wearing the sensor through gait. Gait is chosen since it is the most dominant daily activity, which is considered to contain not only identity but also physical, medical conditions.Winners will achieve certificates and award prize (we are exploring for fund).
The competition registration can be done by Google Form or email. If you would like to register by email, please send to wearablesensorchallengegmail.com with subject line as OU-ISIR-GAG, with the following information: (1) team name; (2) names, affiliations of all members; and (3) name, affiliation, email, phone number and mailing address of contact person. A reference number will be assigned to each team by our confirmation email.
The training datasets are publicly available, while test dataset will be uploaded. All these datasets were captured by the same sensors (IMUZ).
Participants can use both OU-ISIR inertial datasets:
(a) The OU-ISIR Gait Database, Inertial Sensor Dataset: http://www.am.sanken.osaka-u.ac.jp/BiometricDB/InertialGait.html
(b) The OU-ISIR Gait Database, Similar Action Inertial Dataset: http://www.am.sanken.osaka-u.ac.jp/BiometricDB/SimilarActionsInertialDB.html
A half of the dataset is similar to that of (a) and (b). The other half was captured in the wild on an almost flat ground; sensors were fixed in a backpack while their orientations will be unavailable. File format is the same as that of (a).
Participants have to submit prediction results (age and gender) for all available data files of the test dataset by sending the attached prediction file in .csv format, submission form, to wearablesensorchallengegmail.com with the assigned reference number on the subject line.
We will evaluate the results separately for age and gender. The results will be evaluated by mean absolute error for age and number of mistake for gender.