Inertial Measurement units based wireless sensor network for real time gait analysis

Lihinikaduarachchi, Imesh; Rajapaksha, Sajith Asanka; Saumya, Charitha; Senevirathne, Viraj; Silva, Pujitha

doi:10.1109/tencon.2015.7372999

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…A range of studies have explored the use of wireless body-fixed sensors with IMUs for gait assessment. These studies collectively highlight the potential of this technology for gait analysis, particularly in terms of precision, usability, and patient monitoring [ 24 , 25 , 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability

Marom,

Brik,

Agay

et al. 2024

Sensors

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An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen’s d, comparing the application’s readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89–1) and good-to-excellent reliability (ICC range, 0.77–1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58–1). Only ‘step length of the impaired leg’ showed poor-to-good validity (range, 0.37–0.84). Cohen’s d effect size was small (d < 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.

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Section: Introductionmentioning

confidence: 99%

The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability

Marom,

Brik,

Agay

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Smartphone IMU Sensors for Human Identification through Hip Joint Angle Analysis

Andersson,

Bermejo-García,

Agujetas

et al. 2024

Sensors

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Gait monitoring using hip joint angles offers a promising approach for person identification, leveraging the capabilities of smartphone inertial measurement units (IMUs). This study investigates the use of smartphone IMUs to extract hip joint angles for distinguishing individuals based on their gait patterns. The data were collected from 10 healthy subjects (8 males, 2 females) walking on a treadmill at 4 km/h for 10 min. A sensor fusion technique that combined accelerometer, gyroscope, and magnetometer data was used to derive meaningful hip joint angles. We employed various machine learning algorithms within the WEKA environment to classify subjects based on their hip joint pattern and achieved a classification accuracy of 88.9%. Our findings demonstrate the feasibility of using hip joint angles for person identification, providing a baseline for future research in gait analysis for biometric applications. This work underscores the potential of smartphone-based gait analysis in personal identification systems.

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Inertial Measurement units based wireless sensor network for real time gait analysis

Cited by 2 publications

References 11 publications

The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability

The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability

Smartphone IMU Sensors for Human Identification through Hip Joint Angle Analysis

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