Sensor Technology Research Centre

Wearable Technologies Laboratory

The Wearable Technologies Laboratory was founded by Dr Daniel Roggen in January 2014 within the Sensor Technology Research Centre, carrying on several of the research activities that he initiated while previously at ETH Zurich.

Our research activities lie in computational behaviour analytics in wearable, mobile and ubiquitous computing: the use of machine learning techniques, miniature sensors, and online data sources to recognize and understand human behaviours, activities, and context, including social interactions and cognitive-affective states. We emphasize novel sensing modalities and embedding this intelligence in miniature devices. Our long term vision are systems that follow a lifelong adaptive paradigm for use in open-ended scenarios.

The Wearable Technologies Lab investigates:

  • Novel wearable technologies including sensors and actuators.
  • Hardware and software co-design of algorithms and computing hardware.
  • Activity and context recognition algorithms.
  • Novel interaction paradigms with wearable and mobile devices.
  • Applications in various domains: sports, healthcare, industrial, etc.

Research projects

HumanE AI Net EU research project

 

 

HumanE AI Net

Funding: EU H2020, 2020-2023

 Behaviour analytics research project

Wearable consumer behaviour analytics

Funding: EPSRC & Unilever, 2019-2023

Deep learning for activity recognition

Deep learning for human activity recognition

Funding: Google Faculty Research Awards, 2015-2016

Lifelearn: Unbounded activity and context awareness

Lifelearn: Unbounded activity and context awareness

Funding: EPSRC, 2016-2018

Wearable sensors for beach volleyball

Wearable technologies for beach volleyball

Funding: internal, 2015-2019

 Huawei Logo

Activity recognition on mobile phones

Funding: Huawei, 2017-2018

 Google Glass

MinlAttention: Attention Management in Minimal Invasive Surgery

Funding: Austrian FFG, 2016-2019

BlueSense2 Wearable/IoT platform

Wearable/IoT sensing platform and IMU

 Funding: internal, ongoing

 

 

 Publications

Additional publications on Google Scholar