All Outputs (5)

Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021 (2021)
Presentation / Conference
Kumar, P., Leake, J., Brodie, S., Molton, J., O'Reilly, R., Pearce, A., …Caleb-Solly, P. (2021, November). Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021. Presented at UK Stroke Forum Conference, 2021, Telford, UK and online

Background: To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper limb (UL) movement... Read More about Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021.

Lycra sleeves with embedded-Accelerometers to test wear compliance and upper limb activity in people with stroke: A feasibility study  (2021)
Presentation / Conference
Kumar, P., Leake, J., Brodie, S., Molton, J., O'Reilly, R., Pearce, A., …Caleb-Solly, P. (2021, October). Lycra sleeves with embedded-Accelerometers to test wear compliance and upper limb activity in people with stroke: A feasibility study . Poster presented at CAHPR Oxfordshire and CAHPR Southwest Conference 2021, Online

Background: To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. Aim: To test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper-limb (UL) movements/activity in people... Read More about Lycra sleeves with embedded-Accelerometers to test wear compliance and upper limb activity in people with stroke: A feasibility study .

Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction (2020)
Presentation / Conference
Camilleri, A., Hong, J., Dogramadzi, S., & Caleb-Solly, P. (2020, May). Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction. Presented at ICRA 2020

To achieve safe close-proximity human-robot interaction , particularly for physically assitive tasks, robot motion planning needs to recognize and adapt to the behaviour of humans in the long-term. Generally, motion prediction with probabilistic conf... Read More about Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction.

Social robots for engagement in rehabilitative therapies: Design implications from a study with therapists (2018)
Presentation / Conference
Design implications from a study with therapists. Paper presented at 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, IL, USA

In this paper we present the results of a qualitative study with therapists to inform social robotics and human robot interaction (HRI) for engagement in rehabilitative therapies. Our results add to growing evidence that socially assistive robots (SA... Read More about Social robots for engagement in rehabilitative therapies: Design implications from a study with therapists.

The efficacy of “busyness” as a measure for behaviour pattern analysis using unlabelled sensor data: A case study (2015)
Presentation / Conference
Fiorini, L., Caleb-Solly, P., Tsanaka, A., Cavallo, F., Dario, P., & Melhuish, C. (2015, November). The efficacy of “busyness” as a measure for behaviour pattern analysis using unlabelled sensor data: A case study. Paper presented at IET International Conference on Technologies for Active and Assisted Living (TechAAL), London, UK

The integration of Internet of Things (IoT) into our daily lives has the potential to significantly improve the quality of life and well-being of citizens, especially older adults who want to continue to live independently in their own home. In order... Read More about The efficacy of “busyness” as a measure for behaviour pattern analysis using unlabelled sensor data: A case study.