ENT-00002694 · Dataset

UCI Human Activity Recognition Using Smartphones

UCI Human Activity Recognition Using Smartphones is a machine learning dataset associated with UCI Machine Learning Repository.

Level V — PersistentActiveDocumented

Human readable record

Overview

UCI Human Activity Recognition Using Smartphones is a documented dataset from the UCI Machine Learning Repository. It is used for experiments, benchmarking or teaching in machine learning and is recorded as wearable sensor activity dataset.

Timeline

2012Public release or documentation
UCI Human Activity Recognition Using Smartphones appears in public documentation, project records, benchmark descriptions or research references associated with UCI Machine Learning Repository.

Capabilities

Dataset referenceBenchmark or training-data contextTask-level documentationModel evaluation supportSource-based traceability

Known limitations

Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone.

Technical and registry detail

Technical description

Structured record for UCI Human Activity Recognition Using Smartphones. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

DatasetMachine LearningBenchmarkUCI

Relationship graph

UCI Human Activity Recognition Using Smartphones

Associated organizationUCI Machine Learning Repository

UCI Machine Learning Repository is the organization, project community or institutional context associated with UCI Human Activity Recognition Using Smartphones.

Domain contextDataset and benchmark infrastructure

UCI Human Activity Recognition Using Smartphones belongs to the Dataset and benchmark infrastructure layer of the intelligent-entity registry.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002694",
    "name": "UCI Human Activity Recognition Using Smartphones",
    "alternateName": [],
    "additionalType": "Dataset",
    "description": "UCI Human Activity Recognition Using Smartphones is a machine learning dataset associated with UCI Machine Learning Repository.",
    "creator": "UCI Machine Learning Repository",
    "url": "entity.php?id=ENT-00002694",
    "sameAs": "https://archive.ics.uci.edu/dataset/240/human+activity+recognition+using+smartphones",
    "lxkeysWorld": {
        "classification": "Machine Learning Dataset",
        "organization": "UCI Machine Learning Repository",
        "originContext": "Dataset and benchmark infrastructure",
        "firstPublicAppearance": "2012",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:48:33+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "Dataset reference",
            "Benchmark or training-data context",
            "Task-level documentation",
            "Model evaluation support",
            "Source-based traceability"
        ],
        "limitations": [
            "Dataset coverage, licensing, annotation quality and benchmark relevance depend on the source version and use context.",
            "Performance claims should be assessed through models evaluated on the dataset rather than inferred from the dataset alone."
        ],
        "tags": [
            "Dataset",
            "Machine Learning",
            "Benchmark",
            "UCI"
        ],
        "timeline": [
            {
                "date": "2012",
                "title": "Public release or documentation",
                "description": "UCI Human Activity Recognition Using Smartphones appears in public documentation, project records, benchmark descriptions or research references associated with UCI Machine Learning Repository."
            }
        ],
        "relationships": [
            {
                "target": "UCI Machine Learning Repository",
                "type": "Associated organization",
                "description": "UCI Machine Learning Repository is the organization, project community or institutional context associated with UCI Human Activity Recognition Using Smartphones.",
                "evidence_level": "documentary"
            },
            {
                "target": "Dataset and benchmark infrastructure",
                "type": "Domain context",
                "description": "UCI Human Activity Recognition Using Smartphones belongs to the Dataset and benchmark infrastructure layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "UCI Machine Learning Repository page",
                "url": "https://archive.ics.uci.edu/dataset/240/human+activity+recognition+using+smartphones",
                "source_type": "Primary / Reference Source",
                "verification_status": "verified"
            }
        ]
    }
}

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