Important dates (GMT):

Test dataset release: 15 Dec, 2018 03 Jan, 2019

Registration close: 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 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).

Training datasets:

Participants can use both OU-ISIR inertial datasets:

(a) The OU-ISIR Gait Database, Inertial Sensor Dataset:
(b) The OU-ISIR Gait Database, Similar Action Inertial Dataset: Sensor setup

Test dataset:

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).

Download test dataset.

Prediction results submission

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 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.