This project focuses on analyzing human body movements during common exercises by capturing and processing angles of key body joints. We utilized video data to extract frame-by-frame angles of the following body parts during various exercises such as push-ups, jumping jacks, pull-ups, squats, and Russian twists. For pose estimation, MediaPipe was used to detect body landmarks, while YOLOv6 was employed for object detection to enhance accuracy.

Methodology

• Video Collection: Videos were recorded for each exercise (push-ups, jumping jacks, pull-ups, squats, Russian twists), ensuring proper form and variety in movement.
• Frame-by-Frame Analysis: Each video was processed frame by frame, and landmarks were detected using MediaPipe's Pose Estimation. We calculated the angles of key joints by using the positional data of landmarks across different frames.
• Object Detection with YOLOv6: YOLOv6 was used to identify specific objects and enhance the robustness of the pose estimation by detecting outliers or incorrect poses during exercises, thereby improving the accuracy of the analysis.

Applications This dataset can be used for multiple applications: - Form Correction: By comparing these angles with standard benchmarks, feedback can be provided to improve exercise form. - Performance Tracking: Over time, users can monitor their improvement by analyzing the changes in their joint angles during exercises. - Pose Classification: Machine learning models can be trained to classify correct vs. incorrect form, enabling the development of smart fitness assistants. - Real-time Feedback Systems: Using pose estimation in conjunction with live video, real-time systems can be developed to guide users during workouts.

Exercises Analyzed The following exercises were captured and analyzed for this dataset:

• Push-ups: Key focus on shoulder, elbow, and hip angles.
• Jumping Jacks: Full-body motion tracked via shoulder, elbow, hip, knee, and ankle angles.
• Pull-ups: Primarily focused on shoulder and elbow joint movements.
• Squats: Analyzed hip, knee, and ankle angles for depth and posture analysis.
• Russian Twists: Core movement tracked via shoulder and hip angles to assess rotational motion.

Potential Analysis - Time-Series Analysis: The data can be treated as a time-series, allowing for the identification of trends in joint movement over the duration of an exercise. - Pose Optimization: Optimization models can be used to suggest improvements in form based on angle analysis. - Machine Learning Integration: The dataset can serve as input for machine learning algorithms to automate form correction and workout optimization.

A September 2023 survey on exercise habits in the United States revealed that around 65 percent of male respondents took part in strength training. Meanwhile, just under one quarter of female respondents participated in yoga.

Context

This dataset has an exhaustive list of player statistics for each season from 2013 - 2020

Content

Each row is associated with a player and a season. Eg. You will have 7 rows for Lionel Messi: 1 for each season he played

Each row will have 103 unique stats you can look at (Eg. No of Goals Scored, Passing accuracy in %, Minutes Played etc)

Dataset Provides Exercise Schedules. A list of full-scale Federal Emergency Management Agency (FEMA) and NRC evaluated exercises required of nuclear facilities is provided. The list includes identification of the date and type of exercise (e.g., plume, in

LA Fitness is a popular fitness chain known for its affordable membership fees and extensive amenities. LA Fitness offers a variety of fitness classes, including group exercise, personal training, and specialized programs. LA Fitness clubs often feature amenities such as swimming pools, spas, basketball courts, and child care services. This comprehensive approach aims to attract members who value a one-stop-shop for their fitness and wellness needs. You can download the complete list of key information about LA Fitness locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The LA Fitness data you can download includes:

Identification & Location:


  store_number, store_name

  address, city, state, zip_code, country, country_code, county, latitude, longitude, geo_accuracy


Contact Information:


  phone_number


Operational Details & Services:


  store_type, details_link 

Poland Imports of articles & equipment for general physical exercise, gymnastics, athletics from Laos was US$63 during 2023, according to the United Nations COMTRADE database on international trade. Poland Imports of articles & equipment for general physical exercise, gymnastics, athletics from Laos - data, historical chart and statistics - was last updated on September of 2025.

Sweden Imports from Laos of Articles & Equipment for General Physical Exercise, Gymnastics, Athletics was US$575 during 2018, according to the United Nations COMTRADE database on international trade. Sweden Imports from Laos of Articles & Equipment for General Physical Exercise, Gymnastics, Athletics - data, historical chart and statistics - was last updated on July of 2025.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

This dataset contains the 2019 statistics for the players that were on the Brewers 40-man roster on February 7, 2020.

Acknowledgements

All of these statistics, and the list of players on the 40-man roster, were provided by BaseballReference.com

Inspiration

These statistics were gathered to be used in a season simulator in order to test different batting orders.

Zip file with 5 Roam exercises in PDF and PPTX formats, plus trainer guide and Quick Guide. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-04-10 and migrated to Edinburgh DataShare on 2017-02-22.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

35 Active Global Exercise Cycle buyers list and Global Exercise Cycle importers directory compiled from actual Global import shipments of Exercise Cycle.

In "Sample Student Data", there are 6 sheets. There are three sheets with sample datasets, one for each of the three different exercise protocols described (CrP Sample Dataset, Glycolytic Dataset, Oxidative Dataset). Additionally, there are three sheets with sample graphs created using one of the three datasets (CrP Sample Graph, Glycolytic Graph, Oxidative Graph). Each dataset and graph pairs are from different subjects. · CrP Sample Dataset and CrP Sample Graph: This is an example of a dataset and graph created from an exercise protocol designed to stress the creatine phosphate system. Here, the subject was a track and field athlete who threw the shot put for the DeSales University track team. The NIRS monitor was placed on the right triceps muscle, and the student threw the shot put six times with a minute rest in between throws. Data was collected telemetrically by the NIRS device and then downloaded after the student had completed the protocol. · Glycolytic Dataset and Glycolytic Graph: This is an example of a dataset and graph created from an exercise protocol designed to stress the glycolytic energy system. In this example, the subject performed continuous squat jumps for 30 seconds, followed by a 90 second rest period, for a total of three exercise bouts. The NIRS monitor was place on the left gastrocnemius muscle. Here again, data was collected telemetrically by the NIRS device and then downloaded after he had completed the protocol. · Oxidative Dataset and Oxidative Graph: In this example, the dataset and graph are from an exercise protocol designed to stress the oxidative system. Here, the student held a sustained, light-intensity, isometric biceps contraction (pushing against a table). The NIRS monitor was attached to the left biceps muscle belly. Here, data was collected by a student observing the SmO2 values displayed on a secondary device; specifically, a smartphone with the IPSensorMan APP displaying data. The recorder student observed and recorded the data on an Excel Spreadsheet, and marked the times that exercise began and ended on the Spreadsheet.

These exercises are designed to understand and practice the implementation of Hydrological Data Assimilation, as well as GRACE and GRACE-FO post-processing. The practical sessions were performed during the SUMMER SCHOOL - SATELLITE-BASED HYDROLOGICAL DATA ASSIMILATION, August 26-28 2025, organized by the Geodesy group, Aalborg University, see https://www.aau.dk/summer-school-satellite-based-hydrological-data-assimilation-e134157.Please cite this documents as: Retegui-Schiettekatte, Leire; Çakan, Çağatay; Mehrnegar, Nooshin; Yang, Fan (2025). Exercises of the AAU-DA Summer School 2025. figshare. Dataset. https://doi.org/10.6084/m9.figshare.29930252

15 Active Global Exercise Equipment buyers list and Global Exercise Equipment importers directory compiled from actual Global import shipments of Exercise Equipment.

29 Active Global Physical Exercise buyers list and Global Physical Exercise importers directory compiled from actual Global import shipments of Physical Exercise.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Context

This dataset contains 2022-2023 regular season NBA player stats per game. Note that there are duplicate player names resulted from team changes.

• 2021-2022 NBA Player Stats
• 2023-2024 NBA Player Stats

Content

+500 rows and 30 columns. Columns' description are listed below.

• Rk : Rank
• Player : Player's name
• Pos : Position
• Age : Player's age
• Tm : Team
• G : Games played
• GS : Games started
• MP : Minutes played per game
• FG : Field goals per game
• FGA : Field goal attempts per game
• FG% : Field goal percentage
• 3P : 3-point field goals per game
• 3PA : 3-point field goal attempts per game
• 3P% : 3-point field goal percentage
• 2P : 2-point field goals per game
• 2PA : 2-point field goal attempts per game
• 2P% : 2-point field goal percentage
• eFG% : Effective field goal percentage
• FT : Free throws per game
• FTA : Free throw attempts per game
• FT% : Free throw percentage
• ORB : Offensive rebounds per game
• DRB : Defensive rebounds per game
• TRB : Total rebounds per game
• AST : Assists per game
• STL : Steals per game
• BLK : Blocks per game
• TOV : Turnovers per game
• PF : Personal fouls per game
• PTS : Points per game

Acknowledgements

Data from Basketball Reference. Image from Clutch Points.

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