iMotus™ Wheelchair Edition
Enhance your wheelchair mobility with the power of iMotus™!
The Wheelchair edition of iMotus™ has sensors for the right and left wheels, enabling real-time data recording, analysis, and plotting while the user drives a wheelchair or any mobile vehicle with a differential drive mechanism. It offers wireless data transfer to any computer, and easy mounting on various wheel shapes and sizes.
The iMotus-W sensor complements the system by reading and analyzing data through our custom iMotus software, providing real-time interpretations and advanced statistical analysis for sensor data. The iMotus™ software is downloadable from Microsoft Store for free.
Empowering Mobility with Real-time Data, Wireless Transfer, Easy Mounting and Advanced Analysis for Unleashing Your Independence!
Metrics & KPIs
Angular displacement (rotation) and velocity of each wheel
The iMotus-W measures the angular velocity of each wheel: the rate of change of its angle of rotation with respect to time.
Linear displacement (distance) and velocity of the wheelchair
The iMotus calculates the linear velocity of a wheelchair by measuring the distance it travels over time. The speed of the wheelchair can vary depending on various factors, including the type of surface it is travelling on, and the user's weight.
Axial angular displacement (rotation) of the base
The axial angular velocity of the wheelchair is also calculated: the rate of change of the robot's orientation around its vertical axis.
Task completion time
The time it takes for a user to complete a task or experiment is also recorded by the iMotus software.
Duration of inactivity & activity
The iMotus software shows you the total time in which the patient has used the wheelchair (active) and the time that the wheelchair has not been used (inactive).
Smoothness of motion by calculating the jerk index
Smoothness of motion refers to the evenness and fluidity of movement. It is the absence of jerky or sudden movements and the presence of a continuous and controlled motion. The iMotus measures the smoothness of motion by calculating the jerk index.
• Precise navigation for wheelchair users by tracking kinematic parameters
• Using data to detect sudden changes in orientation, facilitating timely alerts for potential tip over
• Testing in any indoor and outdoor environment without the need for an internet connection, suitable for off-grid/remote communities
• Use data for precise localization and calibration by integrating sensor data with wheel encoders and external references
• Data assists in dynamic path planning and following trajectories, enhancing the robot’s efficiency in complex environments
• Use data to maintain stability by detecting and compensating for tilting, ensuring the robot’s balance during movement
• Quantify motion and analyze performance, offering athletes and amateurs insights into their riding dynamics
• Record and export comprehensive data history, enabling in-depth analysis and tracking of progress over time
• Enhance training strategies and refine techniques by utilizing iMotus-generated data, contributing to improved riding skills and the overall user experience
• Enable autonomous navigation in GPS-denied environments by providing continuous position and orientation updates
• Data assists in analyzing terrain conditions and adjusting vehicle parameters for optimal performance
• Use data to contribute to maintaining stability during high-speed maneuvers by detecting tilting and triggering corrective actions
• Elevate athlete performance insights with valuable motion recording capabilities
• Empowering sports medicine through data-driven insights into seated human motion, with a focus on wheelchair users
• Enhancing virtual reality experiences through precise movement tracking for improved immersion
• Use the API to provide immediate data on vehicle dynamics, aiding in adaptive control strategies and enhancing safety
• Information is used in active suspension systems to adjust vehicle damping and improve ride comfort
• Correct sensor drift, ensuring accurate perception and control in autonomous systems