Estimating Human Walking Pace and Direction Using Vibration Signals

Jeong, Eun-Hee; Kim, Dae Eun

doi:10.5302/j.icros.2014.14.9025

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…위해 사용되는 지표로 SI (Symmetry Index)[8][9][10][11][12], TSR (Temporal Symmetry Ratio)[13,14], R1(Ratio1), R2(Ratio2)등 이 쓰인다. 본 논문에서 사용하게 될 지표인 SI는 양 하지 의 입각기와 유각기의 비를 이용한 지표이다.…”

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A Study on Gait Imbalance Evaluation System based on Two-axis Angle using Encoder

Shim¹,

Kim²,

Cho³

et al. 2015

Journal of Institute of Control, Robotics and Systems

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In this study, the gait imbalance evaluation algorithm based on two axes angle using encoder is proposed. This experiment was carried out to experiment with a healthy adult male to 10 people. The device is attached to the hip and knee joint in order to measure the angle during the gait. Normal and imbalance gait angle data were measured using an encoder attached to the hip and knee joints. Also, in order to verify the reliability of estimation of asymmetrical gait using hip and knee angle, it was compared with the result of asymmetrical gait estimation using foot pressure. SI (Symmetry Index) was used as an index for determining the gait imbalance. As a result, normal gait and 1.5cm imbalance gait were evaluation as normal gait through SI using an encoder. And imbalance gait of 3cm, 4cm, and 6cm were judge by imbalance gait. Whereas all gait experiments except normal gait were evaluation as imbalance gait through SI using the pressure. It was possible to determine both the normal gait and imbalance gait through measurement for the angle and the pressure.

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A Study on Gait Imbalance Evaluation System based on Two-axis Angle using Encoder

Shim¹,

Kim²,

Cho³

et al. 2015

Journal of Institute of Control, Robotics and Systems

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Behavior Estimation Based on Multiple Vibration Sensors for Elderly Monitoring Systems

Shao¹,

Kubota²,

Hotta³

et al. 2021

JACIII

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Aging has become a global social issue nowadays. We want to provide an elderly care system for older people who live alone. Based on the perspective of an informationally structured space (ISS), we have developed a monitoring system by using high-precision vibration sensors. In preliminary experiments, we observed that the autocorrelation coefficient reflected periodic human activities to a certain extent. Therefore, we propose a time delay neural network (TDNN) with autocorrelation as the input to analyze the vibration data. The system can estimate the current state of the elderly. When the system observes any abnormal situation of the elderly, the system can confirm by voice or notify the caregiver, if necessary. In the experiments, we compared the proposed method with traditional TDNNs using raw data as the input. The results demonstrated that proposed methods had performed well when using vibration sensors to measure user behaviors in the bathroom and living room.

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Modeling Jamming Avoidance Response of Pulse-type Weakly Electric Fish

Soh

Kim²

2015

Journal of Institute of Control, Robotics and Systems

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Estimating Human Walking Pace and Direction Using Vibration Signals

Cited by 3 publications

References 4 publications

A Study on Gait Imbalance Evaluation System based on Two-axis Angle using Encoder

A Study on Gait Imbalance Evaluation System based on Two-axis Angle using Encoder

Behavior Estimation Based on Multiple Vibration Sensors for Elderly Monitoring Systems

Modeling Jamming Avoidance Response of Pulse-type Weakly Electric Fish

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