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Energy- and context-aware approaches to aiding human memory

Energy- and context-aware approaches to aiding human memory
Energy- and context-aware approaches to aiding human memory
Our memory defines us, but it is also fragile and fallible. When memory fails us, a range of supportive technologies can be used, from calendars and diaries to electronic devices for reminding. As problems with memory are strongly associated with age related diseases such as dementia, and even with healthy ageing memory, the rapidly ageing Western population has driven particular interest to the field of electronic memory aids.

In this thesis, the state of the art in these devices is explored, and the contributions from the engineering and psychology literature are compared. This leads to the proposal of a structured design approach for the design of future aids. This approach is then used in the design of a memory aid for names, which is evaluated in a practical user study. This system is then extended to take into account the limited power budget: a rule system is introduced to control the energy expenditure, and this is then trained via a machine learning approach, leading to significant improvements in battery life. The remainder of the thesis then considers how another memory aid focussed on the recognition of context can be developed, and an energy-efficient approach to context awareness is proposed and demonstrated.
Wood, Alex
0e658cee-1b98-45d7-b77f-b91470c764d8
Wood, Alex
0e658cee-1b98-45d7-b77f-b91470c764d8
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020

Wood, Alex (2015) Energy- and context-aware approaches to aiding human memory. University of Southampton, Physical Sciences and Engineering, Doctoral Thesis, 154pp.

Record type: Thesis (Doctoral)

Abstract

Our memory defines us, but it is also fragile and fallible. When memory fails us, a range of supportive technologies can be used, from calendars and diaries to electronic devices for reminding. As problems with memory are strongly associated with age related diseases such as dementia, and even with healthy ageing memory, the rapidly ageing Western population has driven particular interest to the field of electronic memory aids.

In this thesis, the state of the art in these devices is explored, and the contributions from the engineering and psychology literature are compared. This leads to the proposal of a structured design approach for the design of future aids. This approach is then used in the design of a memory aid for names, which is evaluated in a practical user study. This system is then extended to take into account the limited power budget: a rule system is introduced to control the energy expenditure, and this is then trained via a machine learning approach, leading to significant improvements in battery life. The remainder of the thesis then considers how another memory aid focussed on the recognition of context can be developed, and an energy-efficient approach to context awareness is proposed and demonstrated.

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More information

Published date: May 2015
Organisations: University of Southampton, Electronics & Computer Science

Identifiers

Local EPrints ID: 382959
URI: https://eprints.soton.ac.uk/id/eprint/382959
PURE UUID: 39912356-8405-4590-a0f3-4da4cd3f00bc
ORCID for Geoffrey Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 12 Nov 2015 12:59
Last modified: 06 Jun 2018 12:42

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