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IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring

SENSORS (2023)

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Summary: Measures of human motion provide valuable information about health and physiological status. Examples of motion-based biomarkers include patterns of movement, quantified physical activity, and characteristic gaits. Practical measurement technologies and evolving physiological models and algorithms have made it possible to assess these biomarkers, with access to motion data and contextual information. Quantifying physical activity now goes beyond step counts, with accurate estimates of energy expenditure useful for weight management and health outcomes. Specific gaits can predict injury risk, and mood status can be inferred from certain types of human movement. Wearable systems can aid in the early identification of movement disorders and improve the management of chronic diseases. Emerging technologies, such as GPS and accelerometers, enable associations between health outcomes and performance, leading to better predictive models and algorithms.

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Summary: Running gait assessment is crucial for technical optimization and injury prevention. Current assessment methods are subjective or expensive. This study evaluated a low-cost smartphone application using computer vision for running gait assessment in low-resource settings. The proposed markerless system showed accurate outcomes and could be used for routine assessment.

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Bespoke Fuzzy Logic Design to Automate a Better Understanding of Running Gait Analysis

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Summary: Running gait assessment and running shoe recommendation are crucial for preventing injuries among runners with different skill levels and running styles. Traditional methods rely on trained professionals and expensive equipment, but still suffer from subjectivity and inconsistency. Therefore, there is a need for low-cost and reproducible gait assessment methods, especially in low-resource contexts and during the COVID-19 pandemic. Fuzzy logic has been proven effective and efficient in assessing and identifying gait patterns, making it ideal for embedded systems.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2023)

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Review Sport Sciences

With life there ismotion. Activity biomarkers signal important health and performance outcomes

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Summary: Measuring human motion is a valuable source of health and physiological information. This paper explores motion-based biomarkers, such as movement patterns and quantified physical activity, that can be assessed using practical measurement technologies and evolving models and algorithms. The quantification of physical activity has advanced, allowing for better estimates of energy expenditure and classifications of activity types and intensity durations. Specific gaits and movement patterns can predict injury risks and reflect mood status. Emerging wearable systems are improving the identification of movement disorders and the medical management of chronic diseases. These advancements contribute to the enhancement of quality of life, protection of health, and improvement of performance.

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SENSORS (2022)

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Summary: This study proposes a novel mobile gait biometrics verification approach, GaitPrivacyON, that achieves accurate authentication results while preserving the sensitive information of the subjects. It combines convolutional autoencoders and a combination of convolutional neural networks and recurrent neural networks with a Siamese architecture. Experimental results demonstrate the potential of GaitPrivacyON in significantly improving subject privacy while maintaining high user authentication results.

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Deep learning semantic segmentation for indoor terrain extraction: Toward better informing free-living wearable gait assessment

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Jong Hun Kim et al.

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Verena Jakob et al.

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SENSORS (2021)

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Gait speed in clinical and daily living assessments in Parkinson's disease patients: performance versus capacity

Arash Atrsaei et al.

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IEEE INTERNET OF THINGS JOURNAL (2021)

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2021 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (IEEE MEMEA 2021) (2021)

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Summary: Running gait assessment for shoe recommendation usually takes place in commercial settings, which may not accurately reflect natural running conditions. This can be costly and performed by untrained professionals. Low-cost assessments like using Mymo could provide a more accessible and accurate alternative.

2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) (2021)

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