Pith. sign in

REVIEW 2 cited by

The Dem@Care Experiments and Datasets: a Technical Report

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1701.01142 v1 pith:UT5WG352 submitted 2016-12-17 cs.CV

The Dem@Care Experiments and Datasets: a Technical Report

Anastasios Karakostas , Alexia Briassouli , Konstantinos Avgerinakis , Ioannis Kompatsiaris , Magda Tsolaki This is my paper
classification cs.CV
keywords technicalactivitiesbeencarecaregiversdatadatasetsdevelopment
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

The objective of Dem@Care is the development of a complete system providing personal health services to people with dementia, as well as medical professionals and caregivers, by using a multitude of sensors, for context-aware, multi-parametric monitoring of lifestyle, ambient environment, and health parameters. Multi-sensor data analysis, combined with intelligent decision making mechanisms, will allow an accurate representation of the person's current status and will provide the appropriate feedback, both to the person and the associated caregivers, enhancing the standard clinical workflow. Within the project framework, several data collection activities have taken place to assist technical development and evaluation tasks. In all these activities, particular attention has been paid to adhere to ethical guidelines and preserve the participants' privacy. This technical report describes shorty the (a) the main objectives of the project, (b) the main ethical principles and (c) the datasets that have been already created.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detection

    cs.SD 2026-05 unverdicted novelty 6.0

    PROCESS-2 is a benchmark speech corpus of approximately 21 hours from 400 participants with predefined train/test splits for cognitive impairment detection research.

  2. Synergizing Zero-Shot Cross-Lingual Alzheimer Detection with Language-Invariant Multimodal Bi-Geometric Adversarial Learning

    eess.AS 2026-06 unverdicted novelty 5.0

    ORBIT framework fuses speech and text models with adversarial and bi-geometric learning to outperform baselines in zero-shot cross-lingual speech-based Alzheimer's detection.