Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Prudhvi Tej Chinimilli"'
Publikováno v:
IEEE Sensors Journal. 19:4271-4282
The current state-of-the-art methods utilize multiple sensors and derive numerous features to perform human locomotion recognition. The use of multiple sensors causes discomfort to the users. Also, the derivation of numerous features for multiple sen
Autor:
Wenlong Zhang, Vaibhav Jhawar, Prudhvi Tej Chinimilli, Seyed Mostafa Rezayat Sorkhabadi, Iat Hou Fong, Zhi Qiao
Publikováno v:
Robotics and Autonomous Systems. 114:66-76
This paper attempts to address the problem of online modulation of virtual impedance for an assistive robot based on real-time gait and activity measurements to personalize the assistance for different users at different states. In this work, smart s
Autor:
Juan De la Fuente, Prudhvi Tej Chinimilli, Sangram Redkar, Thomas G. Sugar, Susheelkumar C. Subramanian
Publikováno v:
Volume 5A: 43rd Mechanisms and Robotics Conference.
This paper presents the design of a phase-based robust oscillator for wearable robots that assists the human performing periodic or repetitive tasks. The robustness of the phase oscillator controller is evaluated by finding bounds for perturbations t
Publikováno v:
2019 Wearable Robotics Association Conference (WearRAcon).
In this paper, an adaptive oscillator method Amplitude Omega Adaptive Oscillator (AωAO), is proposed to provide bilateral hip assistance for human locomotion. A realtime human locomotion recognition algorithm is integrated with AωAO to make it robu
Autor:
Daniel Gaytan-Jenkins, Wenlong Zhang, Seyed Mostafa Rezayat Sorkhabadi, Prudhvi Tej Chinimilli
Publikováno v:
2019 Wearable Robotics Association Conference (WearRAcon).
Human locomotion recognition methods based on electromyography (EMG) signals have not shown robust and accurate classification performance. This is due to the limitations of EMG signals such as its stochastic nature and sensitivity to placement of th
Publikováno v:
ACC
This paper presents an intelligent fuzzy inference (IFI) algorithm using inertial measurement units (IMUs) and smart shoes to recognize human activities. IFI algorithm recognizes the activities based on ground contact forces (GCFs) and the knee joint
Publikováno v:
2017 Design of Medical Devices Conference.
In clinical gait therapy, the quality of gait analysis is critical for developing a training plan and monitoring patient progress. Ground contact forces (GCFs) are often recorded to estimate joint torques which can quantify a patient’s needs and st
Publikováno v:
Applied Energy. 252:113414
Increased residential cooling loads often correlate with peak electricity demand in warm and temperate climates. Solutions such as precooling and thermal energy storage (TES) being separately shown to shift energy use to off-peak times and reduce ele
Hysteresis Compensation for Ground Contact Force Measurement With Shoe-Embedded Air Pressure Sensors
Publikováno v:
Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation.
This paper reviews the design of smart shoes, a wearable device that measures ground contact forces (GCFs) for gait analysis. Smart shoes utilize four coils of silicone tubes adhered directly underneath the shoe insole at key points of interest. Air