Determining the bias and variance of a deterministic finger-tracking algorithm.
Identifieur interne : 000242 ( Main/Exploration ); précédent : 000241; suivant : 000243Determining the bias and variance of a deterministic finger-tracking algorithm.
Auteurs : Valerie S. Morash [États-Unis] ; Bas H M. Van Der Velden [Pays-Bas]Source :
- Behavior research methods [ 1554-3528 ] ; 2016.
Abstract
Finger tracking has the potential to expand haptic research and applications, as eye tracking has done in vision research. In research applications, it is desirable to know the bias and variance associated with a finger-tracking method. However, assessing the bias and variance of a deterministic method is not straightforward. Multiple measurements of the same finger position data will not produce different results, implying zero variance. Here, we present a method of assessing deterministic finger-tracking variance and bias through comparison to a non-deterministic measure. A proof-of-concept is presented using a video-based finger-tracking algorithm developed for the specific purpose of tracking participant fingers during a psychological research study. The algorithm uses ridge detection on videos of the participant's hand, and estimates the location of the right index fingertip. The algorithm was evaluated using data from four participants, who explored tactile maps using only their right index finger and all right-hand fingers. The algorithm identified the index fingertip in 99.78 % of one-finger video frames and 97.55 % of five-finger video frames. Although the algorithm produced slightly biased and more dispersed estimates relative to a human coder, these differences (x=0.08 cm, y=0.04 cm) and standard deviations (σ x =0.16 cm, σ y =0.21 cm) were small compared to the size of a fingertip (1.5-2.0 cm). Some example finger-tracking results are provided where corrections are made using the bias and variance estimates.
DOI: 10.3758/s13428-015-0610-3
PubMed: 26174712
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000297
- to stream PubMed, to step Curation: 000297
- to stream PubMed, to step Checkpoint: 000126
- to stream Ncbi, to step Merge: 003A91
- to stream Ncbi, to step Curation: 003A91
- to stream Ncbi, to step Checkpoint: 003A91
- to stream Main, to step Merge: 000242
- to stream Main, to step Curation: 000242
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Determining the bias and variance of a deterministic finger-tracking algorithm.</title><author><name sortKey="Morash, Valerie S" sort="Morash, Valerie S" uniqKey="Morash V" first="Valerie S" last="Morash">Valerie S. Morash</name><affiliation wicri:level="2"><nlm:affiliation>Department of Psychology, University of California, Berkeley, CA, USA. valmo@alum.mit.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, University of California, Berkeley, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Van Der Velden, Bas H M" sort="Van Der Velden, Bas H M" uniqKey="Van Der Velden B" first="Bas H M" last="Van Der Velden">Bas H M. Van Der Velden</name><affiliation wicri:level="3"><nlm:affiliation>Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.</nlm:affiliation><country xml:lang="fr" wicri:curation="lc">Pays-Bas</country><wicri:regionArea>Image Sciences Institute, University Medical Center Utrecht, Utrecht</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2" type="province">Utrecht (province)</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:26174712</idno><idno type="pmid">26174712</idno><idno type="doi">10.3758/s13428-015-0610-3</idno><idno type="wicri:Area/PubMed/Corpus">000297</idno><idno type="wicri:Area/PubMed/Curation">000297</idno><idno type="wicri:Area/PubMed/Checkpoint">000126</idno><idno type="wicri:Area/Ncbi/Merge">003A91</idno><idno type="wicri:Area/Ncbi/Curation">003A91</idno><idno type="wicri:Area/Ncbi/Checkpoint">003A91</idno><idno type="wicri:Area/Main/Merge">000242</idno><idno type="wicri:Area/Main/Curation">000242</idno><idno type="wicri:Area/Main/Exploration">000242</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Determining the bias and variance of a deterministic finger-tracking algorithm.</title><author><name sortKey="Morash, Valerie S" sort="Morash, Valerie S" uniqKey="Morash V" first="Valerie S" last="Morash">Valerie S. Morash</name><affiliation wicri:level="2"><nlm:affiliation>Department of Psychology, University of California, Berkeley, CA, USA. valmo@alum.mit.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, University of California, Berkeley, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Van Der Velden, Bas H M" sort="Van Der Velden, Bas H M" uniqKey="Van Der Velden B" first="Bas H M" last="Van Der Velden">Bas H M. Van Der Velden</name><affiliation wicri:level="3"><nlm:affiliation>Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.</nlm:affiliation><country xml:lang="fr" wicri:curation="lc">Pays-Bas</country><wicri:regionArea>Image Sciences Institute, University Medical Center Utrecht, Utrecht</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2" type="province">Utrecht (province)</region></placeName></affiliation></author></analytic><series><title level="j">Behavior research methods</title><idno type="eISSN">1554-3528</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Finger tracking has the potential to expand haptic research and applications, as eye tracking has done in vision research. In research applications, it is desirable to know the bias and variance associated with a finger-tracking method. However, assessing the bias and variance of a deterministic method is not straightforward. Multiple measurements of the same finger position data will not produce different results, implying zero variance. Here, we present a method of assessing deterministic finger-tracking variance and bias through comparison to a non-deterministic measure. A proof-of-concept is presented using a video-based finger-tracking algorithm developed for the specific purpose of tracking participant fingers during a psychological research study. The algorithm uses ridge detection on videos of the participant's hand, and estimates the location of the right index fingertip. The algorithm was evaluated using data from four participants, who explored tactile maps using only their right index finger and all right-hand fingers. The algorithm identified the index fingertip in 99.78 % of one-finger video frames and 97.55 % of five-finger video frames. Although the algorithm produced slightly biased and more dispersed estimates relative to a human coder, these differences (x=0.08 cm, y=0.04 cm) and standard deviations (σ x =0.16 cm, σ y =0.21 cm) were small compared to the size of a fingertip (1.5-2.0 cm). Some example finger-tracking results are provided where corrections are made using the bias and variance estimates.</div></front></TEI><affiliations><list><country><li>Pays-Bas</li><li>États-Unis</li></country><region><li>Californie</li><li>Utrecht (province)</li></region><settlement><li>Utrecht</li></settlement></list><tree><country name="États-Unis"><region name="Californie"><name sortKey="Morash, Valerie S" sort="Morash, Valerie S" uniqKey="Morash V" first="Valerie S" last="Morash">Valerie S. Morash</name></region></country><country name="Pays-Bas"><region name="Utrecht (province)"><name sortKey="Van Der Velden, Bas H M" sort="Van Der Velden, Bas H M" uniqKey="Van Der Velden B" first="Bas H M" last="Van Der Velden">Bas H M. Van Der Velden</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000242 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000242 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:26174712
|texte= Determining the bias and variance of a deterministic finger-tracking algorithm.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:26174712" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |