ArticleSensors (Basel, Switzerland)2017
GaitKeeper: A System for Measuring Canine Gait.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- Canine gait analysis using inertial sensors and deep learning for orthopedic and neurological disorders.Scientific reports · 2026Article
- Long-term, age-associated activity quantification in the DE50-MD dog model of Duchenne muscular dystrophy.Disease models & mechanisms · 2025Article
- IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms.Sensors (Basel, Switzerland) · 2024Article
- A standardised approach to quantifying activity in domestic dogs.Royal Society open science · 2024Article
- Extraction of canine gait characteristics using a mobile gait analysis system based on inertial measurement units.Veterinary and animal science · 2023Article
- Four-limb wireless IMU sensor system for automatic gait detection in canines.Scientific reports · 2022Article
- Could it be osteoarthritis? How dog owners and veterinary surgeons describe identifying canine osteoarthritis in a general practice setting.Preventive veterinary medicine · 2020Article
- Analysis of Agile Canine Gait Characteristics Using Accelerometry.Sensors (Basel, Switzerland) · 2019Article
- A Wearable Magnet-Based System to Assess Activity and Joint Flexion in Humans and Large Animals.Annals of biomedical engineering · 2018Article
- A step in the right direction: an open-design pedometer algorithm for dogs.BMC veterinary research · 2018Article
- Automatic characterization of stride parameters in canines with a single wearable inertial sensor.PloS one · 2018Article
- Evaluation of an open source method for calculating physical activity in dogs from harness and collar based sensors.BMC veterinary research · 2017Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is understood gait has the potential to be used as a window into neurodegenerative disorders, identify markers of subclinical pathology, inform diagnostic algorithms of disease progression and measure the efficacy of interventions. Dogs' gaits are frequently assessed in a veterinary setting to detect signs of lameness. Despite this, a reliable, affordable and objective method to assess lameness in dogs is lacking. Most described canine lameness assessments are subjective, unvalidated and at high risk of bias. This means reliable, early detection of canine gait abnormalities is challenging, which may have detrimental implications for dogs' welfare. In this paper, we draw from approaches and technologies used in human movement science and describe a system for objectively measuring temporal gait characteristics in dogs (step-time, swing-time, stance-time). Asymmetries and variabilities in these characteristics are of known clinical significance when assessing lameness but presently may only be assessed on coarse scales or under highly instrumented environments. The system consists an inertial measurement unit, containing a 3-axis accelerometer and gyroscope coupled with a standardized walking course. The measurement unit is attached to each leg of the dog under assessment before it is walked around the course. The data by the measurement unit is then processed to identify steps and subsequently, micro-gait characteristics. This method has been tested on a cohort of 19 healthy dogs of various breeds ranging in height from 34.2 cm to 84.9 cm. We report the system as capable of making precise step delineations with detections of initial and final contact times of foot-to-floor to a mean precision of 0.011 s and 0.048 s, respectively. Results are based on analysis of 12,678 foot falls and we report a sensitivity, positive predictive value and F-score of 0.81, 0.83 and 0.82 respectively. To investigate the effect of gait on system performance, the approach was tested in both walking and trotting with no significant performance deviation with 7249 steps reported for a walking gait and 4977 for a trotting gait. The number of steps reported for each leg were approximately equal and this consistency was true in both walking and trotting gaits. In the walking gait 1965, 1790, 1726 and 1768 steps were reported for the front left, front right, hind left and hind right legs respectively. 1361, 1250, 1176 and 1190 steps were reported for each of the four legs in the trotting gait. The proposed system is a pragmatic and precise solution for obtaining objective measurements of canine gait. With further development, it promises potential for a wide range of applications in both research and clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.