A Wearable Real-Time Intelligent Posture Corrective System Using Vibrotactile Feedback

Gopalai, Alpha Agape; Senanayake, S. M. N. Arosha

doi:10.1109/tmech.2011.2161486

Cited by 66 publications

(27 citation statements)

References 25 publications

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“…Haggerty et al [36] found that older adults could use a high fidelity laboratory-based system (Xsens MTx and C-2 tactor) to increase the percentage of time inside the no feedback zone from 65% to 90%. While the presented system increased the percentage of time inside the no feedback zone in a way that was similar and consistent with previous work, the extend of this increase was not as pronounced as other high fidelity systems [28], likely because of the lower fidelity sensors, lower sampling and algorithm update rates, and longer spin-up time of the flat eccentric vibrotactile feedback motor (resulting in longer delays as compared to linear actuators [29]) in the presented system as compared with high fidelity systems.…”

Section: Discussionsupporting

confidence: 89%

“…For example, a cell phone based sensory feedback system has been designed for balance rehabilitation training, where trunk tilt was measured via a single smartphone accelerometer and tactors plugged into the smartphone audio jack provided vibrotactile feedback cues [27]. Similarly, a wearable real-time posture corrective system was designed to integrate vibrotactile feedback with a wobble board system to improve posture control by enhancing ankle proprioception [28]. In addition, many rehabilitation applications involve correcting or restoring gait patterns [3].…”

Section: Introductionmentioning

confidence: 99%

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Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept

Bao

Lee

et al. 2017

J NeuroEngineering Rehabil

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BackgroundPostural balance and gait training is important for treating persons with functional impairments, however current systems are generally not portable and are unable to train different types of movements.MethodsThis paper describes a proof-of-concept design of a configurable, wearable sensing and feedback system for real-time postural balance and gait training targeted for home-based treatments and other portable usage. Sensing and vibrotactile feedback are performed via eight distributed, wireless nodes or “Dots” (size: 22.5 × 20.5 × 15.0 mm, weight: 12.0 g) that can each be configured for sensing and/or feedback according to movement training requirements. In the first experiment, four healthy older adults were trained to reduce medial-lateral (M/L) trunk tilt while performing balance exercises. When trunk tilt deviated too far from vertical (estimated via a sensing Dot on the lower spine), vibrotactile feedback (via feedback Dots placed on the left and right sides of the lower torso) cued participants to move away from the vibration and back toward the vertical no feedback zone to correct their posture. A second experiment was conducted with the same wearable system to train six healthy older adults to alter their foot progression angle in real-time by internally or externally rotating their feet while walking. Foot progression angle was estimated via a sensing Dot adhered to the dorsal side of the foot, and vibrotactile feedback was provided via feedback Dots placed on the medial and lateral sides of the mid-shank cued participants to internally or externally rotate their foot away from vibration.ResultsIn the first experiment, the wearable system enabled participants to significantly reduce trunk tilt and increase the amount of time inside the no feedback zone. In the second experiment, all participants were able to adopt new gait patterns of internal and external foot rotation within two minutes of real-time training with the wearable system.ConclusionThese results suggest that the configurable, wearable sensing and feedback system is portable and effective for different types of real-time human movement training and thus may be suitable for home-based or clinic-based rehabilitation applications.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept

Bao

Lee

et al. 2017

J NeuroEngineering Rehabil

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“…Parameters are defined according to Denavit-Hartenberg convention, forward kinematics equations were derived, and an unscented Kalman filter has been deployed to estimate the defined parameters. The potential of incorporating a realtime biofeedback system with artificial intelligence for wobble board training, aimed at improving ankle proprioception has been reported [65]. The biofeedback system depended on Euler angular measurements of trunk and wobble board displacements and a fuzzy inference system was used to determine the quality of postural control.…”

Section: Types Of Activity Monitoring and Methodologiesmentioning

confidence: 99%

Wearable Sensors for Human Activity Monitoring: A Review

2015

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An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable sensors detect abnormal and/or unforeseen situations by monitoring physiological parameters along with other symptoms. Therefore, necessary help can be provided in times of dire need. This paper reviews the latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges.Index Terms-Wearable sensors, smart sensors, sensor networks, wireless sensor networks, body sensor networks, body area networks, activity monitoring, assisted living, smart home, physiological parameters monitoring.1530-437X He is currently a Professor of Sensing Technology with the School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand. He has over 25 years of teaching and research experiences.His fields of interest include sensors and sensing technology, instrumenta-

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“…Another study used feedback equipment with vibrating and alarming for sitting postural correction [5]. The other study used anterior VF interface for motor learning [11]. These 3 studies said that feedback is highly effective in postural correction.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of real time posterior visual feedback for postural correction during smartphone use

Hun¹,

Ho²

2017

Sixth International Conference on Advances in Mechanical and Robotics Engineering - AMRE 2017

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A Wearable Real-Time Intelligent Posture Corrective System Using Vibrotactile Feedback

Cited by 66 publications

References 25 publications

Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept

Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept

Wearable Sensors for Human Activity Monitoring: A Review

Evaluation of real time posterior visual feedback for postural correction during smartphone use

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