Breaking the Kubernetes Kill Chain: Host Path Mount
MOBISERV
1. MOBISERV - An Integrated Intelligent
Home Environment for the Provision of
Health, Nutrition and Mobility Services
for Older Adults
Bristol Robotics Laboratory
Sanja Dogramadzi,
Praminda Caleb-
Solly, Christine
Fear
2. Project Partners
• Smart Homes - The Netherlands, Coordinator;
• Bristol Robotics Laboratory, University of the West of
England - United Kingdom;
• Robosoft – France;
• Aristotle University of Thessaloniki – Greece;
• Centre Suisse d’Electronique – Switzerland;
• Lappeenranta University of Technology – Finland;
• Smartex s.r.l. – Italy;
• Stichting ST ANNA Zorggroep - The Netherlands
3. The MOBISERV System
Robot
Smart Home
Automation and
Communication Unit
Carer,
Medical
Expert
Interne
t
Smart Garment
for monitoring
heart rate,
breathing,
balance and
temperature
Optical
Recognition Unit
The main
objective:
increase elderly
people’s
4. Methods
• Integration of physiological and
monitoring sensors with a smart
environment and a mobile robot unit
• Extensive user needs elicitation and
evaluations
5. Mechanisms used for translating user needs into
system requirements
Qualitative
&
Quantitativ
e Data
Analysis
Key
Themes
Scenarios &
Use Cases
Personas
End User
Characteris
tics
Functional
and Non-
functional
Requirements
MOBISERV
functions
Observations,
Interviews,
Questionnaires,
Cultural Probes,
Focus Groups
Committee of
Independent
Living and Ageing
Experts Review
6. MOBISERV services
• nutrition assistance and dehydration prevention by
eating and drinking reminders and suggestions;
• encouraging physical activity and specific exercises
through monitoring vital signs;
• fall detection with direct communication to a care
centre;
• remote control for the home environment, including
warnings about unwanted situations;
• video communication to friends, family, and health
professionals, and
• games for entertainment and cognitive stimulation
7. Testing
The final MOBISERV system prototype and its
components have been tested in a large range of studies
with:
• primary users
• secondary users (partners, formal and informal carers)
• tertiary users (care managers and policy makers)
in various settings such as labs, people’s own homes, and
care homes.
8. Results of our studies
Positive aspects
• Good integration and functionality of the system
• Good acceptance of companion robots and
accompanying technologies
Negative aspects
• Frequent issues with voice recognition
• Interpretation and conflict resolution of complex
situations
• Safety issues not fully resolved
9. Open questions
• Abundance of data generated by the
system
• How to perform long term trials?
• Personalisation and modularity
10. Opportunities
• Modular, personalised hardware and
services rather than one complex
system
• Focus on most common and simpler
problems at the start
• Work closely with the users
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