bodiesgo

bodiesgo is a collaborative platform and project focused on collecting, sharing, and analyzing body-related data from wearables and sensors. It aims to enable researchers, clinicians, and developers to study human movement, physiology, and health outcomes while prioritizing user consent and privacy.

The initiative emerged in the early 2020s from academics and privacy advocates seeking interoperable data standards for body data. It evolved from a research consortium into a community-driven platform with a neutral governance model.

It provides an open data schema for sensor streams, standardized metadata, and APIs for data ingestion, querying, and visualization. The platform supports federated learning and differential privacy to minimize exposure of individual data.

Bodiesgo emphasizes informed consent, transparent data provenance, and user-centric controls. Access to data and analyses is governed by a consent framework and a multi-stakeholder council that reviews requests.

Researchers, sports scientists, and physical therapy programs have used bodiesgo to analyze gait, performance, and rehabilitation. Critics point to potential privacy risks and the need for robust auditing and compliance with regional privacy laws.

As a growing open data project, bodiesgo continues to refine its standards, expand partner networks, and explore ethical frameworks that balance openness with individual rights.