An increasing number of older people are recovering at home following a stay in a geriatric rehabilitation centre. The REHABOT project is developing a smart AI assistant that supports older people during their recovery at home and helps healthcare professionals gain a better understanding of the recovery process.

Reason 

Due to the ageing population, pressure on the healthcare system is rising rapidly. At the same time, older people are spending increasingly shorter periods in care facilities following a hospital or rehabilitation stay, meaning that a large proportion of their rehabilitation takes place at home. 

Digital rehabilitation platforms and sensor technology make it possible to support patients at home and monitor their progress remotely. However, these systems also present challenges. Healthcare professionals often lack context regarding patients’ home situations, making it difficult to interpret sensor data. Digital feedback also frequently lacks the personal nuance of face-to-face support. 

This creates a need for technology that not only collects data, but also helps to better understand it and to support patients in a way that is both clear and motivating.

Goal 

REHABOT is developing an AI-supported rehabilitation system that helps older people recover at home and supports healthcare professionals with remote monitoring and guidance. 

The project is investigating how artificial intelligence can contribute to more personalised, understandable and context-aware support during the rehabilitation process.

Expected outcomes 

The project delivers: 

• An AI-powered home rehabilitation assistant for older people.

• A digital platform for monitoring and support by healthcare professionals.

• New insights into human-centred AI applications in healthcare.

• Enhanced support for home rehabilitation and greater opportunities for personalised remote support.  

In addition, REHABOT helps to reduce the pressure on geriatric care and supports independent recovery at home. 

Image & Video

Publications

Project duration

from 01-09-2026 to 01-09-2028

Project manager

Bin Yu, associate lector, Digital Life, Hogeschool van Amsterdam

Researchers

Somaya Ben Allouch, lector, Digital Life, HvA

Michel Oey, docent-onderzoeker, Digital Life, HvA

Daniel Bossen, associate lector eHealth en Beweeggedrag, HvA

Margriet Pol. associate lector Technologie en Participatie, HvA

Shihan Wang, associate professor, Universiteit Utrecht

Marije Holwege, lector Geriatrische Revalidatie, Hogeschool Inholland & Omring

Funding

SIA RAAK Publiek

Partners

• Omring
• De Zorgcirkel
• Argos Zorggroep
• Hipper Therapeutics B.V.
• PAM B.V.

Children’s maths performance is declining. At the same time, the shortage of primary school teachers is increasing. The teaching time available is spent on the cognitive aspects of maths: ensuring that children understand and master the basic skills. But maths is a subject in which negative emotions also play a significant role – more so than in other subjects. And those emotions can have a negative impact on maths performance.

Although teachers agree that emotional aspects are important, they lack the time, knowledge, skills and appropriate tools to address these systematically. This gave rise to the idea of developing a robot assistant for teachers that takes children’s emotions towards maths into account. Based on brief, child-friendly micro-check-ins, the robot can deploy appropriate emotion-regulation strategies where necessary. In this way, both the cognitive and affective aspects of maths can be addressed, without placing additional time pressure on teachers.

Image & Video

Publications

Project duration

from 01-09-2026 to 01-09-2028

Project manager

Simone de Droog, associate lector Digital Life, Hogeschool van Amsterdam

Researchers

Somaya Ben Allouch, lector Digital Life, HvA

Marianne Bossema, docent-onderzoeker Digital Life, HvA

Monique Schaule Jullens, programmamanager Digital Life, HvA

Matthijs Smakman, lector, Hogeschool Utrecht

Veerle Hobbelink, promovendus, Hogeschool Utrecht

Rosa Alberto, onderzoeker, Hogeschool Utrecht

Mike Ligthart, assistent professor, Vrije Universiteit Amsterdam

Sanne van der Ven, docent-onderzoeker, Radboud Universiteit

Funding

SIA RAAK Publiek

Partners

• Expertisecentrum Ponto
• Smartrobot.Solutions
• Florente basisscholen
• Gemeente Diemen

In Amsterdam districts where many residents have a low socioeconomic position, people often face a higher risk of cardiovascular disease and limited access to care. This creates a paradox: those most at risk often seek help only when symptoms have become severe.

During our HARTstikke Gezond community health weeks, blood pressure, cholesterol, blood sugar and BMI are measured in local neighbourhoods. Yet the core problem is not the lack of measurements, but the absence of an effective mechanism that connects these biomedical values to personal, social and environmental context.

AI as a Bridge develops this missing link: an AI-triage system that translates measurements into clear advice, and a connected matchbot that converts this advice into concrete actions and suitable local activities. Together, these systems help residents
better understand their results, turn advice into action, and take earlier steps towards improving their health.

Image & Video

Publications

Project duration

from 10-10-2026 to 10-10-2029

Project manager

Dr. Bart Baselmans, hoofddocent Biomedische Technologie – Faculteit Techniek, Hogeschool van Amsterdam

Researchers

Somaya Ben Allouch, lector, Digital Life, HvA

Bin Yu, asscoiate lector, Digital Life, HvA

Wiek Dirks, Biomedische Technologie, HvA

Pim Kruijt, Biomedische Techonologie, HvA

Funding

ZonMw IMDI (Innovative Medical Devices Initiative) | Technologie voor Bemensbare Zorg – vraaggestuurde innovaties

Partners

• Buurtcampus Amsterdam Oost and Zuid-Oost
• GOO Amsterdam Nieuw-West
• Amsterdam UMC, Cardiologie
• LOA Foundation
• Nederlandse Hartstichting
• Eindhoven Engine
• AlleyApp
• Universiteit Utrecht | ELSA Lab
• GGD Amsterdam
• Team Sportservice
• ROZO
• Gemeente Amsterdam

Craft Your Calm with Personalized Ceramics

In today’s fast-paced world, stress has become a common challenge, and while digital solutions like apps and wearables offer support, they can paradoxically increase anxiety through screen fatigue and constant notifications. Throughout history, tangible objects such as prayer beads, worry stones, and fidget toys have offered calming, haptic experiences to help people self-soothe.

Building on this tradition, the WarmStone project explores a low-tech, participatory approach to stress relief. Through ceramic-making workshops, participants create personalized “WarmStones”—handheld objects crafted to provide tactile comfort and promote mindfulness in everyday life. By examining the shapes, textures, and uses of these objects, the project aims to inform the design of future haptic tools that support emotional wellbeing.

WarmStone offers an opportunity to design and craft unique ceramic objects that fit naturally into daily life. Participants are guided through the process by professional ceramic artist Jiechen, and are encouraged to create handheld “WarmStones” , small, texture-rich pieces designed to provide calming and self-soothing experiences through touch.

In addition to these fidget-friendly objects, participants also have the chance to create an everyday ceramic item, such as a cup or mug, with personalized textures and designs that reflect their individual tactile preferences.

Photo’s and Video’s