NTU RGB-D dataset
Open-knowledge reference entry
The NTU RGB-D (Nanyang Technological University's Red Blue Green and Depth information) dataset is a large dataset containing recordings of labeled human activities. This dataset consists of 56,880 action samples containing 4 different modalities (RGB videos, depth map sequences, 3D skeletal data, infrared videos) of data for each sample.
The dataset consists of 60 labelled actions. Specifically: drink water, eat meal/snack, brushing teeth, brushing hair, drop, pickup, throw, sitting down, standing up (from sitting position), clapping, reading, writing, tear up paper, wear jacket, take off jacket, wear a shoe, take off a shoe, wear on glasses, take off glasses, put on a hat/cap, take off a hat/cap, cheer up, hand waving, kicking something, put something inside pocket / take out something from pocket, hopping (one foot jumping), jump up, make a phone call/answer phone, playing with phone/tablet, typing on a keyboard, pointing to something with finger, taking a selfie, check time (from watch), rub two hands together, nod head/bow, shake head, wipe face, salute, put the palms together, cross hands in front (say stop), sneeze/cough, staggering, falling, touch head (headache), touch chest (stomachache/heart pain), touch back (backache), touch neck (neckache), nausea or vomiting condition, use a fan (with hand or paper)/feeling warm, punching/slapping other person, kicking other person, pushing other person, pat on back of other person, point finger at the other person, hugging other person, giving something to other person, touch other person's pocket, handshaking, walking towards each other and walking apart from each other.
This brief starts where responsible research should: with the source description of “NTU RGB-D dataset” as open-knowledge reference entry. Everything that follows is an evidence route, not borrowed authority.
Why this record matters
The subject matters to the general reference register because the source frames it as open-knowledge reference entry. Its deeper value depends on whether names, dates, institutions and citations support that framing.
Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Apr 14, 2024. The linked authority identifier is Q28457221. None of the 0 selected statements returned an explicit reference.
A concise general-reference account can conceal disagreements about scope, terminology or the weight assigned to individual sources. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.
- Subject orientation
- Search vocabulary
- Locating named sources
The closest primary source, responsible institution and strongest cited specialist reference.
Three-step research path
- Establish the record: confirm the title “NTU RGB-D dataset”, its source revision and the description used here.
- Expand the search: follow NTU RGB-D dataset primary sources, NTU RGB-D dataset archive and RGB-D research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “NTU RGB-D dataset”?
- Which institution is responsible for the underlying evidence?
- Which cited source is closest to the event, object or claim?
Search terms from this dossier
This entry incorporates text from “NTU RGB-D dataset” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.