The video demonstrates an accurate, low-latency body tracking approach for VR-based applications using Vive Trackers. Using a HTC Vive headset and Vive Trackers, an immersive VR experience, by animating the motions of the avatar as smoothly, rapidly and as accurately as possible, has been created. The user can see her from the first-person view.

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Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

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2098 Views

Opportunity++ is a precisely annotated dataset designed to support AI and machine learning research focused on the multimodal perception and learning of human activities (e.g. short actions, gestures, modes of locomotion, higher-level behavior).

Instructions: 

Complete documentation is provided in the readme.

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84 Views

Any work using this dataset should cite the following paper:

 Nirmalya Thakur and Chia Y. Han, "An open access dataset of tweets related to exoskeletons and 100 research questions, " arXiv [cs.CY], 2021.

 

Abstract

 

Instructions: 

Please refer to the paper

Nirmalya Thakur and Chia Y. Han, "An open access dataset of tweets related to exoskeletons and 100 research questions", arXiv [cs.CY], 2021.

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378 Views

The Firearm Recoil Dataset was collected utilizing a wrist worn accelerometer to record the recoil generated from one subject’s use of 15 different firearms of the Handgun, Rifle and Shotgun class. The type of the firearm based on its ability to auto-load or not is also denoted. 

Instructions: 

Datasets are broken up into seperate CSV files for each individual firearm. Details associated with the firearm utilized and data collection specifications is outlined in the Readme File. If you use this datasets for your research, please cite the following paper:

Md. Abdullah Al Hafiz Khan, David Welsh, and Nirmalya Roy. Firearm Detection Using Wrist Worn Tri-Axis Accelerometer Signals, in Proceedings of the 4th Workshop on sensing systems and applications using wrist worn smart devices (WristSense’18), co-located with PerCom, March 2018

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192 Views

Opportunity++ is a precisely annotated dataset designed to support AI and machine learning research focused on the multimodal perception and learning of human activities (e.g. short actions, gestures, modes of locomotion, higher-level behavior).

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188 Views

a novel two-electrode, frequency-scan electrical impedance tomography (EIT) system for gesture recognition

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113 Views

The research were incorporated an extended cohort monitoring campaign, validation of an existing exposure model and development of a predictive model for COPD exacerbations evaluated against historical electronic health records.A miniature personal sensor unit were manufactured for the study from a prototype developed at the University of Cambridge. The units monitored GPS position, temperature, humidity, CO, NO, NO2, O3, PM10 and PM2.5.Three 6-month cohort monitoring campaigns were carried out, each including of 65 COPD patients.

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205 Views

It's a monitoring of automatic grow system, is a study about soil moisture control. We take reads from soil moisture capacitive sensor and DHT11 for a experiment about control of agriculture parameters

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172 Views

Any work using this dataset should cite this paper as follows:

Nirmalya Thakur and Chia Y. Han, "Country-Specific Interests towards Fall Detection from 2004–2021: An Open Access Dataset and Research Questions", Journal of Data, Volume 6, Issue 8, pp. 1-21, 2021.

Abstract

Instructions: 

The instructions on how to use this dataset are available in the above-mentioned paper.

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457 Views

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