List of our publicly released datasets. Please cite the paper if you use any of these datasets.

Speech audio dataset

Authors: Nilesh K Sahu, Manjeet Yadav, Haroon R Lone. The dataset contains audios and self-reported anxiety scores from 105 participants, recorded while they delivered anxiety-inducing speeches.

PPG dataset

Authors: Pranay Jaiswal, Nilesh K Sahu, Haroon R Lone. The dataset comprises photoplethysmography (PPG) data from 32 participants, obtained using both a Samsung smartwatch and a Shimmer sensor. In addition to PPG data, the dataset also includes accelerometer data. Participants engaged in various activities such as sitting, standing, and walking during the data collection process.

INFRAred Dataset for Occupancy Estimation and Localization (INFRADEL)

Authors: Soumya Ranjan Sahoo, Haroon R Lone. This dataset contains thermal images, including 2-channel gray-scale thermal images and converted RGB format. It captures a diverse range of scenarios, including both static and dynamic settings with varying levels of occupancy, making it ideal for developing and testing occupancy estimation algorithms. The dataset was collected in the classrooms of IISER Bhopal.

Traffic signs dataset

Authors: Rishabh Uikey, Haroon R Lone, Akshay Agarwal. The dataset contains Indian traffic signboards capturing signs such as left turn, right turn, speed limit, stop, U-turn, no-parking, etc. Furthermore, annotations (height, width, depth, label, and bounding-box coordinates) are recorded in a separate file for each signboard. The dataset contains around 8512 sign boards.

Rash driving patterns dataset (IMU)

Authors: Durgesh Mishra, Manoj Gulati, Haroon R Lone, This dataset contains Inertial Measurement Unit (IMU) data collected from a smartphone in a running car. The IMU data includes acceleration along the X and Y axes and angular velocity around the Z axis of the car. The dataset captures signatures of five distinct rash driving patterns: Lane Weaving, Lane Swerving, Hard Braking, Hard Cornering, and Quick U-turn. The data spans five hours and is sampled at a rate of 100 Hz.

Cough dataset

Authors: Pranay Jaiswal, Haroon R Lone. The dataset contains cough samples collected via a Samsung smartwatch under controlled settings while doing different activities. Please read the paper for further details.

I-BLEND energy dataset

Authors: Haroon R Lone, Pushpendra Singh, Amarjeet Singh. I-BLEND consists of 52 months’ worth of electrical energy data, sampled at one-minute intervals, gathered from both commercial and residential buildings within an academic institute campus in India. Additionally, it incorporates occupancy data for each building on the campus, sampled at a rate of every 10 minutes.