Sean Patrick Mealin

Works (10)

Updated: July 5th, 2023 15:41

2020 journal article

Preliminary Evaluation of a Wearable Sensor System for Heart Rate Assessment in Guide Dog Puppies

IEEE SENSORS JOURNAL, 20(16), 9449–9459.

By: M. Foster n , R. Brugarolas n, K. Walker n, S. Mealin n, Z. Cleghern n, S. Yuschak n, J. Clark n, D. Adin n ...

author keywords: ECG; heart rate variability; electrodes; machine learning; 3D printing; wearable
TL;DR: A novel wireless heart rate sensing system for puppies in training as guide dogs that includes a harness with on-board electrocardiography front-end circuit, inertial measurement unit and a micro-computer with wireless capability is developed. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 10, 2020

2019 article

Computer Science Principles for Teachers of Blind and Visually Impaired Students

SIGCSE '19: PROCEEDINGS OF THE 50TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, pp. 766–772.

By: A. Stefik *, R. Ladner *, W. Allee* & S. Mealin n

author keywords: Blind and Visually Impaired; Accessibility; Computer Science Principles; Professional Development; The College Board; Code.org
TL;DR: Two major actions by the team to make CSP more accessible are discussed, with the help of accessibility experts and teachers, and the entire Code.org CSP course is modified to make it accessible. (via Semantic Scholar)
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4. Quality Education (OpenAlex)
Source: Web Of Science
Added: November 24, 2020

2016 journal article

Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 98, 179–195.

By: J. Majikes n, R. Brugarolas n, M. Winters n, S. Yuschak n, S. Mealin n, K. Walker n, P. Yang n, B. Sherman n, A. Bozkurt n, D. Roberts n

author keywords: Animal-computer interaction; Classification algorithm; Machine learning; Random Forest; Wearable technology
TL;DR: Results indicate that with proper parameter tuning, the system can successfully capture and reinforce postures to provide computer-assisted training of dogs and to provide a model for future ACI technologies. (via Semantic Scholar)
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1. No Poverty (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 article

Semi-supervised Classification of Static Canine Postures Using the Microsoft Kinect

PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON ANIMAL-COMPUTER INTERACTION, ACI 2016.

By: S. Mealin n, I. Dominguez n  & D. Roberts n

author keywords: Animal-computer interaction; Canine; Posture classification; Semi-supervised learning; Microsoft Kinect; Computer vision
TL;DR: A system capable of identifying static postures for canines that does not rely on hand-labeled data at any point during the process is presented, and a model of the canine is created based on measurements automatically obtained in from the first few captured frames, reducing the burden on users. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 conference paper

Smart connected canines: IoT design considerations for the lab, home, and mission-critical environments (invited paper)

2016 ieee 37th sarnoff symposium, 118–123.

By: J. Majikes n, S. Mealin n, B. Rita n, K. Walker n, S. Yuschak n, B. Sherman n, A. Bozkurt n, D. Roberts n

TL;DR: This paper summarizes three example canine-human systems presented earlier along with their Ion data characteristics and design criteria in order to explore how smart connected canines can improve the authors' lives, the future of smartconnected canines, and the requirements on IoT technologies to facilitate this future. (via Semantic Scholar)
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11. Sustainable Cities and Communities (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Towards unsupervised canine posture classification via depth shadow detection and infrared reconstruction for improved image segmentation accuracy

Biomimetic and biohybrid systems, living machines 2016, 9793, 155–166.

By: S. Mealin, S. Howell & D. Roberts

Source: NC State University Libraries
Added: August 6, 2018

2015 article

Knowledge Engineering for Unsupervised Canine Posture Detection from IMU Data

12TH ADVANCES IN COMPUTER ENTERTAINMENT TECHNOLOGY CONFERENCE (ACE15).

By: M. Winters n, R. Brugarolas n, J. Majikes n, S. Mealin n, S. Yuschak n, B. Sherman n, A. Bozkurt n, D. Roberts n

author keywords: Animal-computer interaction; Classification algorithms; canine training; accelerometers; animal-machine interfaces
TL;DR: Several algorithms for recognizing canine postures are demonstrated, as well as a system for building a computational model of a canine's potential postures, based solely on skeletal measurements, because existing techniques use labeled data, which can be difficult to acquire. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 article

Towards the Non-Visual Monitoring of Canine Physiology in Real-Time by Blind Handlers

12TH ADVANCES IN COMPUTER ENTERTAINMENT TECHNOLOGY CONFERENCE (ACE15).

By: S. Mealin n, M. Winters n, I. Dominguez n , M. Marrero-Garcia n, A. Bozkurt n, B. Sherman n, D. Roberts n

TL;DR: Two non-visual interfaces for monitoring a canine's heart and respiratory rates, an audio interface and a vibrotactile interface are introduced and the results of two initial studies are presented to evaluate the efficacy of the interfaces. (via Semantic Scholar)
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4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Toward Cyber-Enhanced Working Dogs for Search and Rescue

IEEE INTELLIGENT SYSTEMS, 29(6), 32–39.

By: A. Bozkurt n, D. Roberts n, B. Sherman n, R. Brugarolas n, S. Mealin n, J. Majikes n, P. Yang n, R. Loftin n

TL;DR: The authors introduce the fundamental building blocks for a cyber-enabled, computer-mediated communication platform to connect human and canine intelligence to achieve a new generation of Cyber-Enhanced Working Dog (CEWD). (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2012 conference paper

An exploratory study of blind software developers

2012 IEEE symposium on visual languages and human-centric computing (vl/hcc), 71–74.

By: S. Mealin n & E. Murphy-Hill n

TL;DR: The first exploratory empirical study, where eight interviews with blind software developers were conducted to identify aspects of software development that are a challenge, suggests that visually impaired software developers face challenges, for instance, when using screen readers to look up information when writing code. (via Semantic Scholar)
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4. Quality Education (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

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