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
False Start Detection in Elite Athletics
Search
Kevin Brosnan
October 18, 2016
Research
0
130
False Start Detection in Elite Athletics
Short Informal Mathematics (SIM) Talk given within the department at the University of Limerick
Kevin Brosnan
October 18, 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
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
Elite Athletics: Is the false start disqualification rule appropriate?
significantstats
0
130
Quantile Regression
significantstats
0
150
Forward Modelling of UK Gas Prices
significantstats
0
58
Other Decks in Research
See All in Research
なめらかなシステムと運用維持の終わらぬ未来 / dicomo2025_coherently_fittable_system
monochromegane
0
2.8k
論文紹介:Not All Tokens Are What You Need for Pretraining
kosuken
0
170
EarthSynth: Generating Informative Earth Observation with Diffusion Models
satai
3
250
20250725-bet-ai-day
cipepser
2
420
Type Theory as a Formal Basis of Natural Language Semantics
daikimatsuoka
1
290
カスタマーサクセスの視点からAWS Summitの展示を考える~製品開発で活用できる勘所~
masakiokuda
2
190
AIによる画像認識技術の進化 -25年の技術変遷を振り返る-
hf149
7
4k
Mechanistic Interpretability:解釈可能性研究の新たな潮流
koshiro_aoki
1
410
スキマバイトサービスにおける現場起点でのデザインアプローチ
yoshioshingyouji
0
220
2021年度-基盤研究B-研究計画調書
trycycle
PRO
0
290
SSII2025 [SS2] 横浜DeNAベイスターズの躍進を支えたAIプロダクト
ssii
PRO
7
4k
RHO-1: Not All Tokens Are What You Need
sansan_randd
1
170
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
72
11k
Bash Introduction
62gerente
615
210k
Optimizing for Happiness
mojombo
379
70k
The Power of CSS Pseudo Elements
geoffreycrofte
77
6k
Speed Design
sergeychernyshev
32
1.1k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
50k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3.1k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
51
5.6k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
30
9.7k
Docker and Python
trallard
45
3.6k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
61k
Testing 201, or: Great Expectations
jmmastey
45
7.7k
Transcript
Fa l s e - St a r t D
e t e c t i o n i n E l i t e At h l e t i c s K e v i n B r o s n a n , U n i v e r s i t y O f L i m e r i c k S I M T a l k , 1 8 t h O c t o b e r 2 0 1 6
O u t l i n e … • Background
• Rule Changes • Exploratory Analysis • Modelling • Results • Outputs
B a ck g r o u n d …
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning Group Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning Group Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning Group Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning Automatic Disqualification Group Warning
R u l e C h a n ge s
… 1998 2004 2010 2016 Individual Warning Automatic Disqualification Group Warning
E x p l o r a t o r
y … 2,310 1,007 1,303
E x p l o r a t o r
y … 2,310 1,007 1,303
M o d e l l i n g …
f ( RT|µ, , ⌧ ) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆
M o d e l l i n g …
f ( RT|µ, , ⌧ ) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ µ = 400, = 100, ⌧ = 0
M o d e l l i n g …
f ( RT|µ, , ⌧ ) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ µ = 400, = 100, ⌧ = 0 µ = 400, = 100, ⌧ = 0 µ = 0, = 0, ⌧ = 150
M o d e l l i n g …
f ( RT|µ, , ⌧ ) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ µ = 400, = 100, ⌧ = 0 µ = 400, = 100, ⌧ = 0 µ = 0, = 0, ⌧ = 150 µ = 400, = 100, ⌧ = 0 µ = 0, = 0, ⌧ = 150 µ = 400, = 100, ⌧ = 50
M o d e l l i n g …
f ( RT|µ, , ⌧ ) = 1 ⌧ exp nµ ⌧ + 2 2⌧2 RT ⌧ o ✓RT µ 2 ⌧ ◆ µ = 400, = 100, ⌧ = 0 µ = 400, = 100, ⌧ = 0 µ = 0, = 0, ⌧ = 150 µ = 400, = 100, ⌧ = 0 µ = 0, = 0, ⌧ = 150 µ = 400, = 100, ⌧ = 50 µ = 400, = 100, ⌧ = 0 µ = 0, = 0, ⌧ = 150 µ = 400, = 100, ⌧ = 50 µ = 400, = 100, ⌧ = 150
R e s u l t s …
R e s u l t s …
R e s u l t s …
R e s u l t s …
O u t p u t s …
Thanks for Listening! Any Questions?