Creating collar-sensed motion gestures for dog-human communication in service applications

Valentin, Giancarlo; Alcaidinho, Joelle; Howard, Ayanna M.; Jackson, Melody Moore; Starner﻿﻿, Thad

doi:10.1145/2971763.2971788

Cited by 16 publications

(7 citation statements)

References 16 publications

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“…In addition, they have also considered to mediate this communication by recognizing motion-based dog gestures-sit, spin, roll, jump, etc.-using a three-axis accelerometer attached to the front of a service dog harness [82]. More recently, they have studied the use of a dog collar with an accelerometer and gyroscope for the recognition of head gestures on dogs [35,83]. Whilst they struggled with the sensitivity of such devices, the researchers did find that gesture recognition through collars was viable and they pointed to looking to how a dog was trained (i.e., with a leash) to give an indication of gestures that could be instantiated in such systems.…”

Section: Haptic and Wearable Technologiesmentioning

confidence: 99%

Seven Years after the Manifesto: Literature Review and Research Directions for Technologies in Animal Computer Interaction

Hirskyj-Douglas

Pons

Read

et al. 2018

MTI

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As technologies diversify and become embedded in everyday lives, the technologies we expose to animals, and the new technologies being developed for animals within the field of Animal Computer Interaction (ACI) are increasing. As we approach seven years since the ACI manifesto, which grounded the field within Human Computer Interaction and Computer Science, this thematic literature review looks at the technologies developed for (non-human) animals. Technologies that are analysed include tangible and physical, haptic and wearable, olfactory, screen technology and tracking systems. The conversation explores what exactly ACI is whilst questioning what it means to be animal by considering the impact and loop between machine and animal interactivity. The findings of this review are expected to form the first grounding foundation of ACI technologies informing future research in animal computing as well as suggesting future areas for exploration.

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Section: Haptic and Wearable Technologiesmentioning

confidence: 99%

Seven Years after the Manifesto: Literature Review and Research Directions for Technologies in Animal Computer Interaction

Hirskyj-Douglas

Pons

Read

et al. 2018

MTI

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“…This meant adding context and societal implications that we see in papers [2,4,9]. This also meant replacing the dimension of Normative Writing with the dimension of Normative Documentation to add more space for prototypes [4,14,19]. The pilot revealed that in many of the ISWC publications we see a prototype that is being used as a form of research archetype [14].…”

Section: Refining the Classification Schemementioning

confidence: 99%

“…All research that takes place in an artificial environment setting is qualified as lab experiment in the scheme of [19]. Typically, researchers use lab experiments to perform limit the influence of contextual factors upon the studied phenomena.…”

Section: Lab Experimentsmentioning

confidence: 99%

A five-year review of methods, purposes and domains of the international symposium on wearable computing

Nachtigall

Tetteroo

Markopoulos

2018

Proceedings of the 2018 ACM International Symposium on Wearable Computers

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This paper presents a structured survey of 119 publications from the proceedings of the International Symposium on Wearable Computers (ISWC) from 2013 until 2017. This survey is based upon a classification schema used by many others in HCI research, originating in the field of Information Systems. After a pilot survey, the original classification schema was modified slightly to incorporate a more current perspective of wearables research. An extra dimension was added to the classification of research methods pertaining to the Research Domains, in order to provide a more insightful overview of the field. A survey of publications between the years 2013 to 2017 was completed by classifying the research method, purpose and domain with multiple coders. An analysis of the research methods and purposes, and domains of ISWC is presented. Additionally, the citation impact of ISWC publications is evaluated and compared over these dimensions. Current tendencies of the research presented at ISWC are identified with focus on the contextual setting of the research. Opportunities for future research at ISWC are identified.

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“…SaR dogs are important assets in the hands of first responders due to their inherent talents with olfactory and auditory senses. However, in some cases the dog handler is impossible to be present in the same spot with the SaR dog, and thus, a life-critical amount of time is spent as the dog must return to the trainer and guide him to the victim [7].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Empowered Wearable-Based Behavior Recognition for Search and Rescue Dogs

Kasnesis

Doulgerakis

Uzunidis

et al. 2022

Sensors

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Search and Rescue (SaR) dogs are important assets in the hands of first responders, as they have the ability to locate the victim even in cases where the vision and or the sound is limited, due to their inherent talents in olfactory and auditory senses. In this work, we propose a deep-learning-assisted implementation incorporating a wearable device, a base station, a mobile application, and a cloud-based infrastructure that can first monitor in real-time the activity, the audio signals, and the location of a SaR dog, and second, recognize and alert the rescuing team whenever the SaR dog spots a victim. For this purpose, we employed deep Convolutional Neural Networks (CNN) both for the activity recognition and the sound classification, which are trained using data from inertial sensors, such as 3-axial accelerometer and gyroscope and from the wearable’s microphone, respectively. The developed deep learning models were deployed on the wearable device, while the overall proposed implementation was validated in two discrete search and rescue scenarios, managing to successfully spot the victim (i.e., obtained F1-score more than 99%) and inform the rescue team in real-time for both scenarios.

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Creating collar-sensed motion gestures for dog-human communication in service applications

Cited by 16 publications

References 16 publications

Seven Years after the Manifesto: Literature Review and Research Directions for Technologies in Animal Computer Interaction

Seven Years after the Manifesto: Literature Review and Research Directions for Technologies in Animal Computer Interaction

A five-year review of methods, purposes and domains of the international symposium on wearable computing

Deep Learning Empowered Wearable-Based Behavior Recognition for Search and Rescue Dogs

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