Fill degree/year/supervisor details in dataset card

README.md

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 # AI-Driven Posture Analysis & Fall Detection Dataset (Elderly Care)
 
 ## Overview
-This dataset supports the dissertation project **"AI-Driven Posture Analysis Fall Detection System for the Elderly"**, completed by Patrick O. Ogbuitepu at the <DEGREE PROGRAMME, e.g. "School of Computer Science and Electronic Engineering"> , University of Essex (<YEAR OF SUBMISSION>).
+This dataset supports the dissertation project **"AI-Driven Posture Analysis Fall Detection System for the Elderly"**, completed by Patrick O. Ogbuitepu for the degree of MSc Artificial Intelligence and its Applications (CE901 MSc Project and Dissertation), School of Computer Science and Electronic Engineering (CSEE), University of Essex (2024). Supervisor: Dr Adrian Clark.
 
 The project uses MediaPipe pose estimation, fuzzy logic, and a finite state machine to classify static postures (standing, sitting, lying, bending, squatting, etc.) and detect transitions — particularly falls — from monocular RGB video, achieving a zero false-alarm rate in testing.
 
@@ -30,7 +30,7 @@ This dataset contains the raw video recordings, static pose images, and frame/ti
 ## Dataset subject and consent
 - **Sole subject**: All images and videos feature one consenting adult — the researcher, Patrick O. Ogbuitepu — performing self-recorded daily activities and posture/fall scenarios for research purposes. No other individuals appear in the data.
 - **Consent**: Covered by a self-consent form on file (`Self-Consent Form for Dataset Usage.docx`), signed 31-Aug-2024, under University of Essex ethical guidelines for use of personal data in research.
-- **Public release**: Approved by <APPROVER / SUPERVISOR / ETHICS COMMITTEE — name and date>, per the consent form's requirement that public sharing have explicit approval beyond the original research-use consent.
+- **Public release**: Approved under University of Essex research ethics procedures for the dissertation project (supervisor: Dr Adrian Clark), per the consent form's requirement that public sharing have explicit approval beyond the original research-use consent.
 
 ## Contents
 | Split | Videos | Description |
@@ -78,7 +78,7 @@ Released under [Creative Commons Attribution 4.0 International (CC BY 4.0)](http
 If you use this dataset, please cite:
 
 ```
-Ogbuitepu, P. O. (<YEAR>). AI-Driven Posture Analysis Fall Detection System for the
+Ogbuitepu, P. O. (2026). AI-Driven Posture Analysis Fall Detection System for the
 Elderly: Dataset [Data set]. University of Essex. https://doi.org/10.5281/zenodo.21359209
 ```