A cyclist wears the knee sleeve

Remo Haptic Training

Project Development Process

Technology Development

What if you could download the muscle memory of a pro athlete?  

Remo is a wearable haptic device that uses haptic feedback in response to real-time biometric data to help athletes eliminate inefficient movement patterns thereby enhancing performance and reducing risk of injury.

The company’s first product is geared toward cyclists because of a well defined need for maximum pedal stroke efficiency and a proven track record of significant spending for incremental performance improvement.

What we did

  • Dream
  • Build
  • Question
  • Make it a reality

Clients / Collaborators

training athletic knee sleeve with technology
Phone screens show the app interface for the training system.

Technology Development

The Remo technology tracks alignment and movement patterns of key body parts, delivering real-time feedback on form and cadence to improve performance immediately, without interrupting the athlete’s flow. It does this using an individually calibrated haptic interface that sends movement instructions directly to the athlete’s skin, thereby speeding up response time between detection of a problem and initiation of corrective movement. After the workout, Remo’s motion capture data is combined with speed and cadence to create the Remo Coefficient, a single metric that allows athletes to track improvement in form and performance over time.

Remo Haptic Training

Remo Haptic Training is a smart knee sleeve for cycling that helps adjust movement patterns for optimal performance using biosensing and haptic feedback.

A model tests a mockup of the knee sleeve
a wired prototype of the electronic component
A designer builds a prototype in the studio.
A designer tests a prototype in the studio.

Project Development

The Remo Smart Knee Sleeve is made of two parts. A thin fabric sleeve that is embedded with an array of vibration motors and a silicone housing that clicks into place just below the knee cap and holds the brain of the system.

As the cyclist rides, our device registers three key metrics: stroke symmetry, alignment, and cadence. Using proprietary algorithms, it analyzes these movement patterns for flaws and responds with corrective feedback based on the rider’s preferences and input from professional coaches.

Simultaneously, the system puts out an aggregated score, the Remo Coefficient, that essentially quantifies the riders form. Not only does this provide a simple way for cyclists to track progress over time, it also allows them to turn form analysis into a competitive metric in spin classes, training events, and competition!