Analysis of the slip-related falls and fall prevention with an intelligent shoe system

Oda, Hiroshi; Yamaguchi, Takeshi; Yamanouchi, H.; Nagamori, Kazumasa; Yano, Masaru; Hirata, Yasuhisa; Hokkirigawa, Kazuo

doi:10.1109/biorob.2010.5628030

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…Rather than requesting feedback, fall prevention systems generally alert the users about their imminent fall. Moreover, instead of alerting the users, fall prevention systems can also activate other assistive systems (e.g., wearable airbag [ 16 , 46 – 48 ], intelligent walker [ 49 , 50 ], intelligent cane [ 51 , 52 ], intelligent shoe [ 53 ], etc. ) for protecting the user from the adverse effects of falling.…”

Section: Sp Based Fall Detection and Preventionmentioning

confidence: 99%

Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues

Habib

Mohktar

Kamaruzzaman

et al. 2014

Sensors

184

105

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This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall detection and prevention. Falls are considered as major health hazards for both the elderly and people with neurodegenerative diseases. To mitigate the adverse consequences of falling, a great deal of research has been conducted, mainly focused on two different approaches, namely, fall detection and fall prevention. Required hardware for both fall detection and prevention are also available in SPs. Consequently, researchers' interest in finding SP-based solutions has increased dramatically over recent years. To the best of our knowledge, there has been no published review on SP-based fall detection and prevention. Thus in this paper, we present the taxonomy for SP-based fall detection and prevention solutions and systematic comparisons of existing studies. We have also identified three challenges and three open issues for future research, after reviewing the existing articles. Our time series analysis demonstrates a trend towards the integration of external sensing units with SPs for improvement in usability of the systems.

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Section: Sp Based Fall Detection and Preventionmentioning

confidence: 99%

Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues

Habib

Mohktar

Kamaruzzaman

et al. 2014

Sensors

184

105

View full text Add to dashboard Cite

show abstract

“…For slip-related falls, intelligent shoes were introduced for slip detection. 22 The principle depends on the human postural instability based on information from in-shoe pressure sensors and optional rate gyros. Another slip detection method for bipeds is proposed based on an insole sensor system, it utilizes force and acceleration measurements.…”

Section: Related Workmentioning

confidence: 99%

A novel method for slip prediction of walking biped robots

et al. 2015

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This paper proposes a new approach for slip prediction of walking biped robots. The slip prediction is a measurement-based and friction behavior-inspired approach. A measurement-based online algorithm is designed to estimate the Coulomb friction which is regarded as a slip threshold. To predict the slip, a safety margin is introduced in the negative vicinity of the estimated Coulomb friction. The estimation algorithm concludes that if the applied force is outside the safety margin, then the foot tends to slip. The proposed approach depends on the available type of measurements. Three options of measurements are discussed. Among them, the foot acceleration and ankle force measurements scenario is validated by experiments on the humanoid SURALP (Sabanci University Robotics Research Laboratory Platform). The results demonstrate the effectiveness of the proposed approach for slip prediction and detection.

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“…Onodera and coworkers used intelligent shoes to detect slip based on the postural instability of a human subject determined from pressure sensors and optional gyro data [7]. Lincoln and Bamberg [8] used an insole instrumented with six strategically placed force sensitive resistors and a 3-axis accelerometer.…”

Section: Introductionmentioning

confidence: 99%

A novel foot slip detection algorithm using unscented Kalman Filter innovation

Okita

Sommer

2012

2012 American Control Conference (ACC)

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A novel slip detection algorithm is proposed using the innovation term of the Unscented Kalman Filter (UKF). An intentional modeling error was introduced in the dynamic model of a block resting on a slope, including tilt angle and angular velocity. The model was formulated with an assumption of no translations in x-and y-directions. This model was implemented in the UKF based on gyro and accelerometer measurements. When the block slid, the UKF innovation increased considerably due to unmodeled dynamics (i.e., translation). The smoothed innovation was used to detect slip of the block, instead of using the metrics of estimation/measurement of the translational acceleration. As proof of concept, drag-sled stick-slip experiments were conducted under dry and wet surface conditions for level and inclined surfaces. Results indicate versatility of the proposed algorithm for slip detection using boosted innovation. Because accurate metrics of estimation/measurements were not required, parameter tuning was simple, and inexpensive MEMS-based sensors provided satisfactory data quality for slip detection without further error correction.

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Analysis of the slip-related falls and fall prevention with an intelligent shoe system

Cited by 6 publications

References 2 publications

Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues

Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues

A novel method for slip prediction of walking biped robots

A novel foot slip detection algorithm using unscented Kalman Filter innovation

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