Wearable Sensing

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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1654 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. 

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765 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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1206 Views

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

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244 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.

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781 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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683 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

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Objective: Analyzing human motion is essential for diagnosing movement disorders and guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease. Optical motion capture systems are the standard for estimating kinematics, but the equipment is expensive and requires a predefined space. While wearable sensor systems can estimate kinematics in any environment, existing systems are generally less accurate than optical motion capture.

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442 Views

A dataset of beach volleyball serves movements annotated in 4 types (i.e. long float, long top spin, short float, short top spin) and free games. The dataset comprises the data of 10 users in 4 sessions, recorded using 4 inertial sensors per user.

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297 Views

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