{"id":43132,"date":"2026-10-16T09:55:34","date_gmt":"2026-10-16T07:55:34","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=43132"},"modified":"2026-10-14T23:58:55","modified_gmt":"2026-10-14T21:58:55","slug":"saref4ehaw-saref4wear-join-smart-data-models-41-candidate-models-for-ehealth-and-wearables","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/saref4ehaw-saref4wear-join-smart-data-models-41-candidate-models-for-ehealth-and-wearables\/","title":{"rendered":"SAREF4EHAW & SAREF4WEAR Join Smart Data Models: 41 Candidate Models for eHealth and Wearables"},"content":{"rendered":"

Smart Data Models’ Candidates repository<\/a> now includes two more ETSI SAREF<\/strong> extensions, both from the health and personal-devices space: saref4ehaw<\/code><\/strong> and saref4wear<\/code><\/strong>, together
\ncontributing 41 candidate models<\/strong>. Both ship the full Candidates artifact set \u2014 a JSON Schema, an NGSI-LD @context<\/code>, and all four example serializations \u2014 validated against its own schema.<\/p>\n

SAREF4EHAW \u2014 21 models<\/h2>\n

SAREF4EHAW<\/a> (ETSI TS 103 410-8) is SAREF’s extension for eHealth and “ageing well” \/ active assisted living <\/strong>\u2014 the vocabulary behind remote health monitoring setups like a patient wearing a Body Area Network (BAN) of sensors, actuators, and wearables that funnel vital signs through a BAN hub to caregivers.<\/p>\n\n\n\n\n\n\n\n\n\n\n
Category<\/th>\nModels<\/th>\n<\/tr>\n<\/thead>\n
Actors<\/td>\nHealthActor<\/code>, Caregiver<\/code>, Helper<\/code>, User<\/code>, Patient<\/code>, ResponsibleParty<\/code><\/td>\n<\/tr>\n
Activity<\/td>\nActivity<\/code>, DailyActivity<\/code>, NocturnalActivity<\/code><\/td>\n<\/tr>\n
Body Area Network<\/td>\nBan<\/code>, BanApplicationTask<\/code>, BanHub<\/code><\/td>\n<\/tr>\n
Devices<\/td>\nHealthDevice<\/code>, HealthActuator<\/code>, HealthSensor<\/code>, HealthWearable<\/code>, FunctionalDevice<\/code><\/td>\n<\/tr>\n
Communication<\/td>\nCommunicationInterface<\/code>, CommunicationNetwork<\/code>, CommunicationProtocol<\/code><\/td>\n<\/tr>\n
Observation<\/td>\nObservationCollectionExecution<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

A good chunk of this extension is pure specialization with no new properties of its own \u2014 DailyActivity<\/code>, HealthSensor<\/code>, HealthActuator<\/code>, HealthWearable<\/code>, BanHub<\/code>, Patient<\/code>, and ResponsibleParty<\/code> all inherit everything from a richer parent class, and each candidate’s description explains exactly what it inherits rather than inventing properties that don’t exist in the ontology.<\/p>\n

https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4ehaw<\/a><\/p>\n

SAREF4WEAR \u2014 20 models<\/h2>\n

SAREF4WEAR<\/a> (ETSI TS 103 410-9) covers wearable technology more broadly \u2014 smartwatches, fitness bands, implantable health monitors, smart textiles, even crowd-control badges used by event staff. Devices are classified by how they relate to the body (in-body, on-body, near-body, textile\/fabric-integrated), linked to the “Wearer” they’re attached to, and described by the functions they perform (communicating, controlling, navigating, notifying) and the hardware components they’re built from.<\/p>\n\n\n\n\n\n\n\n\n\n
Category<\/th>\nModels<\/th>\n<\/tr>\n<\/thead>\n
Wearable-device family<\/td>\nWearableDevice<\/code>, InBodyWearable<\/code>, OnBodyWearable<\/code>, NearBodyWearable<\/code>, TextileBasedWearable<\/code>, FabricWearable<\/code><\/td>\n<\/tr>\n
Actors \/ features of interest<\/td>\nWearer<\/code>, User<\/code>, LivingOrganism<\/code>, Software<\/code><\/td>\n<\/tr>\n
Hardware components<\/td>\nInterface<\/code>, PowerSupply<\/code>, MemoryStorage<\/code>, TextileBasedSensor<\/code><\/td>\n<\/tr>\n
Functions<\/td>\nCommunicatingFunction<\/code>, ControllingFunction<\/code>, NavigatingFunction<\/code>, NotifyingFunction<\/code><\/td>\n<\/tr>\n
Governance & events<\/td>\nPolicy<\/code>, Occurrence<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The example data (a Garmin-style heart-rate monitor on a runner, an implanted glucose-style monitor, a crowd-control wearable detecting a restroom queue at a music festival) is drawn directly from the worked scenarios in the normative ETSI specification.<\/p>\n

https:\/\/github.com\/smart-data-models\/Candidates\/tree\/master\/standards\/saref4wear<\/a><\/p>\n

Translation notes<\/h2>\n