Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Elite Athletics: Is the false start disqualific...
Search
Kevin Brosnan
May 25, 2016
Research
0
130
Elite Athletics: Is the false start disqualification rule appropriate?
Pint of Science Limerick 2016, JJ Bowles Pub Thomondgate
Kevin Brosnan
May 25, 2016
Tweet
Share
More Decks by Kevin Brosnan
See All by Kevin Brosnan
Automated Gating for Flow Cytometry
significantstats
0
200
False Starts in Athletics: Are they truly fair?
significantstats
0
100
False Starts in Athletics: Are they truly fair?
significantstats
0
90
False Start Detection in Elite Athletics
significantstats
0
130
A Markov Random Fields Approach to the Gating of Flow Cytometry Data
significantstats
0
140
A Markov Random Fields Approach to the Gating of Flow Cytometry Data
significantstats
0
140
Challenges for tertiary level mathematics tutors
significantstats
0
90
Quantile Regression
significantstats
0
150
Forward Modelling of UK Gas Prices
significantstats
0
58
Other Decks in Research
See All in Research
電通総研の生成AI・エージェントの取り組みエンジニアリング業務向けAI活用事例紹介
isidaitc
1
940
Submeter-level land cover mapping of Japan
satai
3
290
近似動的計画入門
mickey_kubo
4
1k
20250725-bet-ai-day
cipepser
2
420
数理最適化と機械学習の融合
mickey_kubo
16
9.3k
Agentic AIとMCPを利用したサービス作成入門
mickey_kubo
0
520
SSII2025 [SS1] レンズレスカメラ
ssii
PRO
2
1.1k
生成的推薦の人気バイアスの分析:暗記の観点から / JSAI2025
upura
0
260
「どう育てるか」より「どう働きたいか」〜スクラムマスターの最初の一歩〜
hirakawa51
0
860
VectorLLM: Human-like Extraction of Structured Building Contours via Multimodal LLMs
satai
4
190
Vision and LanguageからのEmbodied AIとAI for Science
yushiku
PRO
1
530
[輪講] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
nk35jk
2
980
Featured
See All Featured
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
126
53k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
51
5.6k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
53
2.9k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
33
2.4k
Raft: Consensus for Rubyists
vanstee
140
7.1k
jQuery: Nuts, Bolts and Bling
dougneiner
64
7.9k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.7k
Code Reviewing Like a Champion
maltzj
525
40k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
252
21k
Transcript
ELITE ATHLETICS: IS THE FALSE START DISQUALIFICATION RULE APPROPRIATE? Kevin
Brosnan
None
None
None
None
None
None
None
1998 2004 2010 2016 1 2 3 4 5 8
6 7
1998 2004 2010 2016 Individual Warning 1 2 3 4
5 8 6 7
False Start 1: Lane 5 1998 2004 2010 2016 Individual
Warning 1 2 3 4 5 8 6 7
False Start 1: Lane 5 1998 2004 2010 2016 False
Start 2: Lane 7 Individual Warning 1 2 3 4 5 8 6 7
False Start 1: Lane 5 1998 2004 2010 2016 False
Start 2: Lane 7 False Start 3: Lane 7 Lane 7 Athlete Disqualified Individual Warning 1 2 3 4 5 8 6 7
1998 2004 2010 2016 Group Warning 1 2 3 4
5 8 6 7
False Start 1: Lane 5 1998 2004 2010 2016 Group
Warning 1 2 3 4 5 8 6 7
False Start 1: Lane 5 1998 2004 2010 2016 Group
Warning False Start 2: Lane 7 Lane 7 Athlete Disqualified 1 2 3 4 5 8 6 7
1998 2004 2010 2016 Automatic DQ 1 2 3 4
5 8 6 7
1998 2004 2010 2016 Automatic DQ False Start 1: Lane
5 Lane 5 Athlete Disqualified 1 2 3 4 5 8 6 7
None
D A TA
D A TA
D A TA Pretty Pictures
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations
D A TA Pretty Pictures f ( RT|µ, , ⌧
) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ M odelling Recommendations R esults
Prof. Andrew Harrison, Department of Physical Education and Sports Sciences,
University of Limerick Dr. Kevin Hayes, Department of Mathematics and Statistics, University of Limerick
THANKS FOR LISTENING QUESTIONS?