Preliminary Evaluation of a Wearable Sensor System for Assessment of Heart Rate, Heart Rate Variability, and Activity Level in Working Dogs

Foster, Marc; Mealin, Sean; Gruen, Margaret E.; Roberts, David L.; Bozkurt, Alper

doi:10.1109/sensors43011.2019.8956771

Cited by 5 publications

(7 citation statements)

References 12 publications

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“…The tracking of micro- and macro-level factors with environmental sensors placed on harness and aerial visual sensors (such as hyperspectral imaging) could provide a better assessment of the dogs working conditions and effect of these on the its success rate for scent detection tasks. Moreover, combination these with tracking of the heart rate, respiratory patterns and movement of the body could further improve this success rate [ 9 , 15 , 17 ].…”

Section: Discussionmentioning

confidence: 99%

“…The details of our harness system can be found in [ 15 ]. This system is based on Raspberry Pi3B (Raspberry Pi Foundation, UK) microcontroller with an attached custom circuit cape we developed for collecting electrocardiography (ECG) and inertial measurement (acceleration and gyroscopic motion) via a

communication bus.…”

Section: Methodsmentioning

confidence: 99%

“…A custom leather harness is used fitting the exact size of electronic boards and enclosures. For ECG we use custom designed 3D printed conductive electrodes placed ventrally across the chest of the dog [ 15 ]. For this study, we modified the electrodes to support high intensity activity by 3D printing a channel to zip tie the electrodes into the harness.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, we present our efforts towards combining the visual, environmental, and navigational sensors carried by a commercial UAV with a custom designed sensor-equipped canine harness [ 14 , 15 , 16 ]. We added features to our custom-equipped harness to support the ergonomic needs of the study; established a wireless network synchronously connecting all the sensors and actors together; and enabled a human-computer interface towards a dog-human-drone triad system as shown in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

“…In our prior work, we examined the benefits and limitations of various on- and off-body sensing of behavioral, environmental and physiological parameters for working dog applications [ 9 , 11 , 14 , 15 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. The major challenge is the difficulty of monitoring dogs’ maximum heart rate during intense exercise due to excessive motion artifacts.…”

Section: Introductionmentioning

confidence: 99%

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Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs

Foster

Roberts

et al. 2022

Sensors

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This paper presents a system for behavioral, environmental, and physiological monitoring of working dogs using on-body and aerial sensors. The proof of concept study presented here includes two trained dogs performing nine scent detection tasks in an uncontrolled environment encompassing approximately two acres. The dogs were outfitted with a custom designed wearable harness to monitor their heart rate, activity levels and skin temperature. We utilized a commercially available micro-air vehicle to perform aerial sensing by tracking the terrain and movement of the dog in the outdoor space. The dogs were free to explore the space working at maximal speeds to complete a scent-based search-and-retrieval task. Throughout the experiment, the harness data was transferred to a base station via Wi-Fi in real-time. In this work, we also focused on testing the performance of a custom 3D electrode with application specific ergonomic improvements and adaptive filter processing techniques to recover as much electrocardiography data as possible during high intensity motion activity. We were able to recover and use 84% of the collected data where we observed a trend of heart rate generally increasing immediately after successful target localization. For tracking the dogs in the aerial video footage, we applied a state-of-the-art deep learning algorithm designed for online object tracking. Both qualitative and quantitative tracking results are very promising. This study presents an initial effort towards deployment of on-body and aerial sensors to monitor the working dogs and their environments during scent detection and search and rescue tasks in order to ensure their welfare, enable novel dog-machine interfaces, and allow for higher success rate of remote and automated task performance.

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Section: Discussionmentioning

confidence: 99%

communication bus.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs

Foster

Roberts

et al. 2022

Sensors

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A Protocol for Reliable Delivery of Streamed Sensor Data over a Low-Bandwidth Wireless Channel

Boruta¹,

Gburzyński

Kuznicka³

2023

Studies in Computational Intelligence

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Development of a Dog Health Score Using an Artificial Intelligence Disease Prediction Algorithm Based on Multifaceted Data

Kim,

Kim

2024

Animals

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Detecting aberrant behaviors in dogs or observing emotional interactions between a dog and its owner may serve as indicators of potential canine diseases. However, dog owners typically struggle to assess or predict the health status of their pets independently. Consequently, there is a demand for a methodology enabling owners to evaluate their dogs’ health based on everyday behavioral data. To address this need, we gathered individual canine data, including three months of standard daily activities (such as scratching, licking, swallowing, and sleeping), to train an AI model. This model identifies abnormal behaviors and quantifies each behavior as a numerical score, termed the “Health Score”. This score is categorized into ten levels, where a higher score indicates a healthier state. Scores below 5 warrant medical consultation, while those above 5 are deemed healthy. We validated the baseline value of the Health Score against veterinarian diagnoses, achieving an 87.5% concordance rate. This validation confirms the reliability of the Health Score, which assesses canine health through daily activity monitoring, and is expected to significantly benefit dog owners who face challenges in determining the health status of their pets.

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Preliminary Evaluation of a Wearable Sensor System for Assessment of Heart Rate, Heart Rate Variability, and Activity Level in Working Dogs

Cited by 5 publications

References 12 publications

Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs

Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs

A Protocol for Reliable Delivery of Streamed Sensor Data over a Low-Bandwidth Wireless Channel

Development of a Dog Health Score Using an Artificial Intelligence Disease Prediction Algorithm Based on Multifaceted Data

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