Student projects

Health modeling and prediction based on (home) sensors (Masterstudent project)

TU Delft participates in the development of a smartTV platform ( targeted at senior users. The platform combines several applications that allow the senior to communicate, coordinate care, and to access the Internet. As part of the platform, TU Delft wants to integrate existing web services in the new platform. This student project focuses on the Rally Round with Sensor service.

The Rally Round with Sensor (RRwS) is a warning system for possible threats to the senior’s well-being and home. RRwS consists of intelligent components that are able to collect context information about the user, his/her activities and his/her home environment and to analyze and predict the senior well-being and home situation using inputs from sensors. It also has a set of intelligent reporting components that are able to send notification messages to the senior and his/her families/caregivers depending on their current context situations, e.g. profile, location, activity, communication modalities, etc. The reporting includes preliminary analysis of the detected threat or the incident and of its cause. The seniors can receive the notifications on their SmartTV, while the families receive them on their smartphones. Complete daily reports of the senior’s well-being and home situation can also be retrieved using a desktop/laptop. Previous work has been done by a UK company in the field of e-health, in developing a GSM-based warning system that is able to receive input from alarm-based sensors and to send notification messages to the users using SMSs. TU Delft also has done some preliminary work on modeling ontology-based knowledge about users, their activities and their home environment. Your task will be to develop the intelligent system that interprets the observations of the sensor system using world knowledge encoded in the knowledge model to activate the right reporting components. The steps in the project include:

  1. gather and analyze user-requirements and -tasks,
  2. evaluate and re-develop the current knowledge model,
  3. develop the intelligent components of the warning system using the knowledge model and the sensor data,
  4. combine the intelligent components and the GSM-based warning system and
  5. evaluate the RRwS service involving end-users in their homes. You will do this in collaboration with the UK-based company.

Your competences/interests: Computational Modeling, Artificial Intelligence, Web-based Software Engineering.

Ethnographic study of the lifestyle of seniors (internship project)

The HEX Group is inviting anthropological researchers from the VU to participate in ethnographic studies directly with the seniors. The format of the studies can be flexible to fit the specific needs of each participant, however it will generally involve repeated visits to a senior and explore his/her everyday activities. These sessions may also involve visiting family members or informal caregivers and observing how they go on with supporting an aging relative/friend.

Each internship can focus on one or more of the following questions:

  1. What are the activities and situations that present difficulties for seniors that they have to overcome on regular bases?
  2. In which contexts are specific technologies used and offer added value to seniors?
  3. What are the local communities like (who have support systems in place) and what are the lifestyle patterns of these communities?
  4. What types of e-health, social networking technologies and/or ICT are already used by seniors? And how are they used?

The work will be performed under the main supervision of the HEX Group.
A supervisor from the VU will also be involved to keep track of the work.
Potential end users will be identified in the Delft region who are willing to participate. The work will be conducted to fit the context of the health related projects conducted by the HEX Group.