Jun 19, 2019 · We propose a novel approach to extract cycles from gait signals with varying periodicity which are appropriate for low gait speed.

We propose a novel approach to extract cycles from gait signals with varying periodicity which are appropriate for low gait speed. To discriminate normal and ...

This quasi-periodicity increases with decrease in walking speed. Individuals with abnormal gaits are unable to walk in high speed. We propose a novel approach ...

Individuals with abnormal gaits are unable to walk in high speed. We propose a novel approach to extract cycles from gait signals with varying periodicity which ...

Periodicity Detection of Quasi-Periodic Slow-Speed Gait Signal Using IMU Sensor. J Chakraborty, A Nandy. International Conference on Human-Computer Interaction, ...

May 8, 2024 · Periodicity Detection of Quasi-Periodic Slow-Speed Gait Signal Using IMU Sensor. HCI (16) 2019: 140-152. [+][–]. Coauthor network. maximize.

This work presents a real-time gait phase estimator using thigh- and shank-mounted inertial measurement units (IMUs).

Nov 3, 2015 · This paper presents a novel stance phase detection procedure based on observations from a foot-mounted inertial measurement unit (IMU).

Periodicity detection refers to the detection of periodic patterns in a time-series database [2] and can improve the performance of time-series prediction [3][4 ...

Nov 23, 2015 · We developed a drift-free method to estimate the three-dimensional (3D) displacement of a body part during cyclical motions using body-worn inertial sensors.