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Quantifying the effects of varying light-visibility and noise-sound levels in practical multimodal speech and visual gesture (mSVG) interaction with aerobots

Quantifying the effects of varying light-visibility and noise-sound levels in practical multimodal speech and visual gesture (mSVG) interaction with aerobots
Quantifying the effects of varying light-visibility and noise-sound levels in practical multimodal speech and visual gesture (mSVG) interaction with aerobots
This paper discusses the research work conducted to quantify the effective range of lighting levels and ambient noise levels in order to inform the design and development of a multimodal speech and visual gesture (mSVG) control interface for the control of a UAV. Noise level variation from 55 dB to 85 dB is observed under control lab conditions to determine where speech commands for a UAV fails, and to consider why, and possibly suggest a solution around this. Similarly, lighting levels are varied within the control lab condition to determine a range of effective visibility levels. The limitation of this work and some further work from this were also presented.
mSVG (multimodal speech and visual gesture), Aerobot, Speech, nCA (navigation control autonomy)
842-845
IEEE
Abioye, Ayodeji, Opeyemi
dbab5a92-c958-442f-b102-8ca2e4cf874f
Prior, Stephen
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Thomas, Trevor
bccfa8da-6c8b-4eec-b593-00587d3ce3cc
Saddington, Peter
dec47dc3-c456-48f5-8ad0-3f41bea455ca
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Meen,
Prior,
Lam,
Abioye, Ayodeji, Opeyemi
dbab5a92-c958-442f-b102-8ca2e4cf874f
Prior, Stephen
9c753e49-092a-4dc5-b4cd-6d5ff77e9ced
Thomas, Trevor
bccfa8da-6c8b-4eec-b593-00587d3ce3cc
Saddington, Peter
dec47dc3-c456-48f5-8ad0-3f41bea455ca
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Meen,
Prior,
Lam,

Abioye, Ayodeji, Opeyemi, Prior, Stephen, Thomas, Trevor, Saddington, Peter and Ramchurn, Sarvapali (2018) Quantifying the effects of varying light-visibility and noise-sound levels in practical multimodal speech and visual gesture (mSVG) interaction with aerobots. Meen, , Prior, and Lam, (eds.) In IEEE International Conference on Applied System Innovation (IEEE ICASI) 2018. IEEE. 4 pp, pp. 842-845. (doi:10.1109/ICASI.2018.8394395).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper discusses the research work conducted to quantify the effective range of lighting levels and ambient noise levels in order to inform the design and development of a multimodal speech and visual gesture (mSVG) control interface for the control of a UAV. Noise level variation from 55 dB to 85 dB is observed under control lab conditions to determine where speech commands for a UAV fails, and to consider why, and possibly suggest a solution around this. Similarly, lighting levels are varied within the control lab condition to determine a range of effective visibility levels. The limitation of this work and some further work from this were also presented.

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Submitted date: 15 March 2018
Accepted/In Press date: 30 May 2018
Published date: 25 June 2018
Venue - Dates: 4th IEEE International Conference on Applied System Innovation, Chiba, Japan, 2018-04-13 - 2018-04-17
Keywords: mSVG (multimodal speech and visual gesture), Aerobot, Speech, nCA (navigation control autonomy)

Identifiers

Local EPrints ID: 418871
URI: https://eprints.soton.ac.uk/id/eprint/418871
PURE UUID: ad38cda9-9461-4cb1-b875-a7c6488f8f22
ORCID for Stephen Prior: ORCID iD orcid.org/0000-0002-4993-4942
ORCID for Sarvapali Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 23 Mar 2018 17:30
Last modified: 30 Nov 2018 01:33

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