1) TRAINEE (1 student) Smart Pain Assessment Tool Based on Internet of Things Duties: In the near future, it is predictable that any gadget will be identified by a unique address. This will lead to an addressable sequence of computers, sensors, actuators, PDAs and mobile phones. As defined by European Commission Information Society, the Internet of Things (IoT) is a manageable set of convergent developments in sensing, identification, communication, networking, and informatics devices and systems. The IoT is in the revolutionary road and it will remodel the healthcare sector on the way in terms of social benefits and penetration as well as economics. Enabled by ubiquitous computing, all the healthcare system entities (individuals, appliances, medicine) can be monitored and managed continuously. The IoT’s connectivity provide a way to monitor, store and utilize health and wellbeing related data (diagnosis, treatment, recovery, medication, finance, and even daily activity) on a 24/7 basis.
The objective of this project is to benefit from the offered features of the IoT and sensor networks to provide an automatic tool which can detect and assess pain employing behavioral and physiologic indicators such as heart rate and blood pressure. The aim of this project is to develop a system based on Internet of Things to detect and assess pain in a reliable and objective way to replace inaccurate and subjective pain assessment methods performed by caregivers.

Basic abilities: C or C++ programming skills preferably for microcontrollers, preferably some experience in wireless sensor networks (WSN) and embedded system design, preferably some experience on digital signal processing
Time: 1.6.-31.8.2015
More information: Pasi Liljeberg, pakrli@utu.fi


TRAINEE (1 student) Wearable Internet-of-Things for Personal Healthcare Duties: Internet of Things refers to a technology of interconnecting physical objects to each other or to the internet to enable interoperability between sensor, actuators, embedded computing devices, gateways, data centers, etc.. With wearable internet-of-thing (WIoT) we refer to body-worn (or implanted to the cloths) sensors and actuators that implement body area network and are in turn connected to a network via a gateway. Wearable body area sensors are frontend components for WIoT to capture health-centric data.
The objective of this project is to develop a wearable internet of things platform that is suited for healthcare and wellbeing. Body are sensor network will be developed that is able to monitor and transmit physiological data from a person via a gateway to a remote server.

Basic abilities: C or C++ programming skills preferably for microcontrollers, preferably some experience in wireless sensor networks (WSN) and embedded system design, preferably some experience on digital signal processing
Time: 1.6.-31.8.2015
More information: Pasi Liljeberg, pakrli@utu.fi


TRAINEE (1 student) Internet of Things Platform for Food Traceability and Quality Assessment Duties: In the near future, it is predictable that myriad number of things will be identified by a unique address. This will lead to an addressable sequence of computers, sensors, actuators, PDAs and mobile phones. As defined by European Commission Information Society, the Internet of Things (IoT) is a manageable set of convergent developments in sensing, identification, communication, networking and informatics devices and systems. The IoT is in the revolutionary road and it will remodel industry and social services. Enabled by ubiquitous computing, all system entities (individuals, appliances, medicine) can be monitored and managed continuously. IoT’s connectivity provide a way to monitor, store and utilise data in a new innovative ways on a 24/7 basis.
The long-range goal in this project is to develop a Food Safety IoT framework which captures quality parameters from a food product along the supply chain. In the IoT-based Food Safety system, food safety related information is measured using environmental and gas sensors. We also supplement these IoT generated data with context and location information. Context and location awareness enables to identify unusual patterns and making more precise inferences about the situation. The framework aims to ensure that conditions for safe and sustainable food are met – and the results are not subject to fraud. The main responsibility of an intern is to carry out research on the platform/architecture development of the IoT based Food Safety system as well as to build the system using development boards and environmental and gas sensors. The aim is to have a system that is capable of collecting, analysing and transmitting data from sensors to cloud and back again.

Basic abilities: Background in computer networks, C programming skills preferably for microcontrollers, preferably some experience in wireless sensor/actuator networks (WSAN)
Time: 1.6.-31.8.2015
More information: Tomi Westerlund, tovewe@utu.fi