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    Sensor-based posture awareness application

    We designed a session-based sensing workflow and a feedback prototype for a consumer-sensor wellness application. A staged validation plan uses reference measures, and the core session workflow was prepared for usability and feasibility testing.

    Stage: Prepared for usability and feasibility testing

    Our own product: PostureIQ

    The context

    Consumer motion sensors can support posture awareness, but their technical limits and the evidence behind their use need to be clear. The project focused on a session-based wellness application with a defined path for evaluation.

    Industry

    Digital wellness

    The problem

    • Working within the limits of consumer motion sensors
    • Providing feedback without interrupting normal activity
    • Separating wellness features from unvalidated clinical claims
    • Planning research participation with appropriate privacy controls

    Our method

    • Designed a calibrated, session-based sensing workflow
    • Defined requirements for feedback, accessibility, and privacy
    • Developed a staged validation plan using reference measures
    • Created an optional research-data process with informed consent

    What we delivered

    • Product and user-experience specification
    • Sensor-processing and feedback prototype
    • Research participation and consent plan
    • Validation roadmap

    The results

    • Aligned the product requirements with its intended wellness use
    • Prepared the core session workflow for usability and feasibility testing
    • Established a roadmap for later validation

    Where results are confidential, we describe outcomes qualitatively.

    Platforms and methods used

    • Sensor-informed design
    • Digital wellness
    • Validation planning
    • Privacy by design

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