1 / 18

TennisSense Clarity Project Overview

Detailed agenda review of work plan, deliverables discussion, data integration model, and project updates for developing a sensor database for tennis analytics. Key focuses on player and ball movement analysis, biomechanics, and physiological feedback. Project objectives detailed with workplan milestones and team responsibilities.

arlen
Download Presentation

TennisSense Clarity Project Overview

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Agenda 10:30 Opening, meeting objectives & schedule Review of workplan from previous meeting (NOC) 10:50 Deliverables Discussion on the draft list of deliverables already circulated (NOC) 11:15 Data model for integrating multiple sensor sources Towards a CLARITY open access sensor database (MR) 11:30 Workplan updates

  2. Meetings Meetings 10 March, 10:30, DCU 28 April, 10:30, DCU 01 July, 10:30, UCD 02 Sep, 10:30, TBC Email reflector TennisSense@list.eeng.dcu.ie Wiki http://www1.atwiki.com/tennissense

  3. Tennis Demonstrator Workplan CLARITY: Centre for Sensor Web Technologies

  4. Contextual Enable strategic and tactical feedback Matches Off-line feedback Video & Ubisense sensor data Content access and visualisation for specific time intervals corresponding to specific events

  5. Plan WP1.1: Identify Perform. Factors (literature) WP1.1: Identify Perform. Factors (laboratory) WP1.2: System Design & Implementation WP1.3: Deployment & Data Gathering WP1.4: Content Analysis for Event Detection WP1.5: Event Indexing for Retrieval (incl. real-time) WP1.6: Personalisation & Adaptation M6 M12 M14 M1

  6. WP1: Kieran Moran & Donal O’Gorman WP1.1: Identify Perform. Factors Sarah Hughes WP1.2: System Design & Implementation Antonio Ruzzelli WP1.3: Deployment & Data Gathering Greg May WP1.4: Content Analysis for Event Detection Damien Connaghan WP1.5: Event Indexing for Retrieval Colum Foley WP1.6: Personalisation & Adaptation TBC

  7. Perform. Factors - Events Simple method of real-time event tagging e.g. iTouch + 5 buttons, bluetooth microphone + ASR Tag events Mark every event as it occurs during the game – real time e.g double fault, an unforced error, etc Categorize, count and store events tagged Generate statistics (summaries, graphs, percentages etc.) Point by point break down off-line Separate and label each point automatically Duration of each point & time between each point (average time, minimum and maximum)

  8. Perform. Factors - Ball Speed of serve Velocity of the ball as it crosses the net Real time audio feedback to player/coach if target velocity reached Velocity of ball played to the player and the velocity of their return Height the ball crosses the net Accuracy Where it’s hit from & where the ball is landing in the court during matches/training

  9. Perform. Factors - Player Player speed and acceleration Peak and average velocity Time at peak velocity Total distance covered Number of times they change direction Position of player when they strike the ball Position of opponent

  10. Biomechanical Analysis and visualisation of specific strokes Upper torso & position of impact on racquet Training sessions only Real-time feedback Inertial sensors & video Start with existing/available accelerometers, target is Tyndall WIMUs integrated by M8

  11. Plan WP2.1: Identify Perform. Factors (literature) WP2.1: Identify Perform. Factors (laboratory) WP2.2: Inertial Body Sensor Integration WP2.3: Deployment & Data Gathering WP2.4: Biomechanical Stroke Characterisation WP2.5: Biomechanical Evaluation WP2.6: Visualisation & Feedback M6 M12 M14 M1

  12. WP2: Brian Caulfield & Kieran Moran WP2.1: Identify Perform. Factors Luke Conroy & Ciarán O Conaire WP2.2: Inertial Body Sensor Implementation John Buckley & Antonio Ruzzelli WP2.3: Deployment & Data Gathering Greg May WP2.4: Biomechanical Stroke Characterisation Ciarán Ó Conaire WP2.5: Biomechanical Evaluation (Stroke Matching and Comparison) Graham Healy WP2.6: Visualisation & Feedback TBC

  13. Physiological Enable physiological feedback Heart rate, respiration, speed, distance, number of steps Both training sessions & matches Off-line & real-time feedback Start with Foster-Miller vest and video to deliver on above factors Target is to integrate chemical sensor platform by M14 to be ready for cycle 2

  14. Plan WP3.1: Identify Perform. Factors (literature) WP3.1: Identify Perform. Factors (laboratory) WP3.2: System Design & Implementation WP3.3: Deployment & Data Gathering WP3.4: Real-time Querying WP3.5: Sweat Patch Integration WP3.6: Visualisation & Feedback M6 M12 M14 M1

  15. Niall Moyna & Donal O’Gorman WP3.1: Identify Perform. Factors Sarah Hughes WP3.2: System Design & Implementation Antonio Ruzzelli WP3.3: Deployment & Data Gathering Greg May WP3.4: Real-time Querying Ken Conroy WP3.5: Sweat Patch Integration Shirley Coyle & Fernando Benito Lopez WP3.6: Visualisation & Feedback Hyowon Lee

  16. Perform. Factors Heart rate (HR) – real time feedback When relaxed. When activated. Perhaps audio feedback Optimum range for different tasks e.g. before they serve Feedback that enables training of a player to reduce their HR when necessary e.g. before they serve Have individual players’ HR rate ranges on the system HR at start of point/at end of point Average HR throughout the match Build a profile over time, how closely training scenarios replicate matches

  17. Tennis Demonstrator Deliverables CLARITY: Centre for Sensor Web Technologies

  18. Deliverables

More Related