Proprioception is an interactive prototype that explores how human body awareness and sensory perception can be tracked, visualized, and better understood through digital tools.
The project focuses on proprioception, often called the body's “sixth sense”, which allows us to sense the position and movement of our body without looking at it. Despite its importance in balance, coordination, and movement, proprioception is rarely measured or visualized in everyday technology.
This project aims to design a sensory-tracking interface that helps users log and reflect on their bodily awareness and movement patterns.
Original design prototype available on Figma:
https://www.figma.com/design/cZEIX4DfvVAG5JC9vPGChI/Proprioception
Most health and wellness technologies track measurable metrics like:
- Steps
- Heart rate
- Sleep cycles
- Calories burned
However, internal sensory experiences such as:
- body awareness
- balance
- spatial orientation
- movement confidence
are rarely tracked or visualized.
These sensory signals play an important role in physical coordination, posture, and mental wellbeing, yet they remain largely unexplored in digital interfaces.
Proprioception introduces a prototype tool that allows users to:
- Track body awareness and sensory feedback
- Log moments of balance or disorientation
- Reflect on posture and movement patterns
- Visualize trends in proprioceptive awareness over time
The interface turns subjective bodily experiences into structured, visual data.
Users can record their proprioceptive experiences such as:
- balance changes
- posture awareness
- body orientation
- movement confidence
The prototype displays tracked data through:
- timelines
- visual indicators
- body awareness metrics
This helps users identify patterns in their sensory experiences.
The tool encourages users to reflect on:
- movement habits
- physical posture
- environmental factors affecting body awareness.
The project aligns with the quantified self movement, extending personal data tracking beyond traditional biometrics into sensory perception and body awareness.
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User logs sensory input The user records moments related to body awareness or movement.
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Data is categorized Inputs are translated into measurable parameters such as balance or spatial orientation.
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Visualization dashboard The interface displays patterns and trends in proprioceptive awareness.
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Insights and reflection Users can interpret how their habits influence sensory perception.
- Figma
- Figma Make
- Interactive UI prototyping
- Data visualization concepts
- Quantified self design principles
Follow these steps to run the project locally.
Run the following command to install required packages:
npm installRun the development server:
npm run devThe app will start locally and can be accessed in your browser (usually at http://localhost:3000 or the port shown in your terminal).
- Translating subjective sensory experiences into structured data
- Designing intuitive UI for abstract physiological concepts
- Creating meaningful visualizations for non-traditional health metrics
- Sensory experiences can be modeled through interaction design
- Visualization helps make internal bodily signals understandable
- The quantified self approach can extend beyond traditional health tracking.
Potential future enhancements include:
- Integration with motion sensors or wearable devices
- Real-time movement tracking
- AI-driven insights for posture and movement patterns
- Rehabilitation and physical training features.
This project is intended for educational and experimental purposes.