New Physical Activity Data in Wolfram|Alpha
When Wolfram|Alpha launched, we were able to estimate physiological energy expenditures for very basic exercise queries involving walking and running. But now we can answer much more detailed questions about a broader assortment of physical activities. For example, this query will compute the energy burned by running a specific distance in a given time:
You can also specify a running speed over a given distance:
As an alternative to using running speed, you can instead specify a pace:
In addition to running and walking, we have also added data on many more daily physical activities—including not only many sports and exercise methods, but also a wide range of normal everyday activities. This data is based on the estimated metabolic requirement (METs) and conversion factors for energy consumption rates for given activities. These estimates have been used in various studies conducted by the CDC (Centers for Disease Control and Prevention) to evaluate how much exercise an average person may get depending on activity level and general lifestyle.
If you want to find out the rate at which you could lose fat, the rate at which calories are burned, the amount of oxygen consumed, and the number of METs required for a task, just enter the name of the activity into Wolfram|Alpha—for example, “golf” or “mini golf”.
You can also ask about calorie or fat consumption while engaging in a particular activity, given a specific time and body weight:
How long will it take to burn 700 calories digging a ditch?
Fat loss carrying groceries upstairs for 1 minute:
More than 300 activities are currently working in Wolfram|Alpha, including outdoor activities like horseback riding and squirrel hunting; playing musical instruments (so you can find out if trombonists or trumpeters do more work); dancing in different styles, from swing to cha-cha; and common household chores, like ironing and washing dishes.
And for those who need a little more encouragement to get up and get some exercise:
We’re working to add data for as many sports and other activities as possible. As always, we encourage you to submit your suggestions, ideas, and feedback.