A cognitive robotic ecology approach to self-configuring and evolving AAL systems
- Submitting institution
-
Heriot-Watt University
(joint submission with University of Edinburgh)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10728990
- Type
- D - Journal article
- DOI
-
10.1016/j.engappai.2015.07.004
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 269
- Volume
- 45
- Issue
- -
- ISSN
- 0952-1976
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
16
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces a solution to the fundamental challenge for sensors in assitive living applications of annotations of sensor data. This was the core component of the assisted living test-bed of Tecnalia, and the monitoring solutions adopted in DOREMI (FP7-ICT-2013-10-611650). [Contacts: Tecnalia; University of Pisa].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
