Client: AAL

Project Duration: 24 months

Objective:

The SI4SI project focused on creating a smart living environment for the elderly, leveraging innovative technology such as advanced sensors and AI-based systems. The primary objectives were to identify levels of social isolation in seniors, provide decision-making support through an AI Advisor, and enhance care through personalized activities and improved communication tools for seniors and caregivers.

Scope of Work:

1. Research and Development:

   - Contributed to the development and integration of non-invasive sensing devices like IoT sensors and wearables.

   - Focused on tracking functional and social activities, along with emotional patterns indicative of social isolation.

2. AI Advisor Development:

   - Contributed to the creation of an AI Advisor system to analyze data and provide personalized recommendations for seniors and caregivers.

   - Aimed to improve decision-making support and intervention strategies.

3. Multimodal Fusion Analysis System:

   - Contributed to the implementation of a system to understand seniors’ kinetic, emotional status, and social participation levels.

   - Utilized collected data for comprehensive analysis.

4. Conversational Assistant and Smart Home Tablet:

   - Contributed to the development of a conversational assistant for interactive communication.

   - Provided seniors with a smart home tablet for vocal and video interactions.

5. Social and Collaborative Platforms:

   - Established a social platform for engaging seniors.

   - Created a collaborative application for professional, social, and family caregivers.

6. Integration and Testing:

   - Integrated various technologies to ensure seamless operation.

   - Conducted rigorous testing to ensure system reliability and effectiveness.

Technologies Used:

- Advanced sensors (e.g., Vayyar, Portabiles-HCT) for environmental and behavioral monitoring.

- AI Advisor for personalized recommendations and decision support.

- Multimodal Fusion Analysis System for comprehensive data analysis.

- Conversational Assistant for enhanced communication.

- Collaborative Application for caregiver coordination.

- Smart Home Tablet for senior interaction.

Outcomes & Benefits:

- Reduced social isolation in seniors through innovative technology and AI-driven insights.

- Enhanced care quality with personalized activity suggestions and decision-making support.

- Strengthened emotional bonds between seniors and their families.

- Promoted social engagement and involvement of the elderly in community activities.

- Improved home care efficiency and effectiveness for professional caregivers.

Team Composition:

- Project Managers

- AI and Machine Learning Experts

- Software Developers

- UI/UX Designers

- Data Analysts

- Healthcare and Geriatric Consultants

Business Impact and Value Realization:

Enhanced Senior Care and Wellness:

The project significantly improved the quality of life for seniors by reducing isolation and enhancing their social involvement. This led to better emotional well-being and overall health.

Advanced Caregiver Support:

By equipping caregivers with advanced tools and AI-driven insights, the project enhanced the effectiveness and efficiency of care provided to seniors.

Innovative Use of Technology:

The integration of cutting-edge sensors and AI technology established a new standard in senior care, positioning the project at the forefront of smart living environments.

Community and Social Impact:

The project’s success in fostering social connections and community involvement for seniors had a profound impact on their social well-being and community engagement.

In summary, the SI4SI project marked a significant advancement in the field of elderly care and smart living environments. Through its innovative use of technology and AI, the project not only improved the lives of seniors but also provided valuable insights and tools for caregivers, making a lasting impact on the community and setting a new benchmark in the industry.

This work was supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS/CCCDI –

UEFISCDI and of the AAL Programme, with co-funding from the European Union`s Horizon 2020

research and innovation programme, project number 226/2021, within PNCDI III