activity analysis

• activity analysis

  • Observes athlete participating in sport and activity
  • Collect a variety of data and skill information and physiological information from performance (quantitative)
  • purpose:
  • Helps us to identify physiological requirements of an activity
  • Allows us to identify:
  • Relevant fitness components
  • Energy system contributions
  • Major muscle groups
  • Having this information allows us to:
  • Pick a suitable fitness test
  • Allows us to design training programs specific to the athlete/activity
• data collection methods

  • direct observation
  • video recording
  • wearable devices
• direct observation

  ⭐: involves observing the game and making decisions and judgements accordingly (watching it as it happens)

  • Pros:
  • Easy + practical
  • Low cost (accessible)
  • Immediate process - no delays to collate data
  • Cons: 
  • Subjective information
  • Memory limitations
  • Data cannot be stored (no reference point for later use)
• video recording

  ⭐: footage is recorded and analysed immediately, or saved and analysed after the event

  • Pros:
  • Increased accuracy (more objective)
  • Can be replayed/paused/slowed down (better opportunities to observe skills and collect data)
  • Footage can be stored and reviewed
  • Cons: 
  • Costly - less accessible
  • Labour intensive (set things up beforehand, replay it etc.)
  • Time intensive (takes longer)
• wearable devices

  ⭐: using mobile apps, watches, heart rate monitors and GPS systems to collect data on athletes movements and physiological responses (e.g. average speed, top speed, heart rate)

  • Pros:
  • Variety of information
  • Data can be saved
  • Objective
  • Cons: 
  • Costly - less accessible
  • Delay in obtaining data - time consuming
  • Can be uncomfortable
• types of data collected

  • skill frequency tables
  • heart rate data
  • movement patterns
  • W:R
• skill frequency tables

  • Keep tally of frequency and effectiveness of skill
  • Which skills were performed
  • How often the skill was performed (tally)
  • Generally very helpful to determine fitness components + major muscle groups
• HR data

  • Could be graph,avg. Heart rate etc. - varies
  • Generally use heart rate devices to collect heart rate data
  • Clearly indicates the INTENSITY of the exercise
  • Allows to identify major fitness components
  • Commonly used to describe energy system contributions (interpret data)
• movement patterns

  • Typical movements complete in a game by performer e.g. distance covered
  • Shows us what the athlete is doing, how often they do it or what percentage of the game that movement makes up
  • Gives good insight into major fitness components
  • Can be used to describe contribution of energy systems
• W:R

  ⭐: summary of the time athlete has spent physically working compared to time spent resting

  • Clear indication of relative energy system contribution (link components to energy systems)
  • Specifically which system made the greatest relative contribution during WORK PERIODS
  • Work time > or = rest time (in secs)
  • W:R = 1:1. 2:1, 3:1 +
  • Work time slightly less than recovery time
  • W:R = 1:3, 1:4
  • Work time is significantly less than recovery time
  • W:R = 1:5, 1:6, 1:7+