Smartwatch can Sense If You are Chopping Vegetables or Petting a Dog

by Colleen Fleiss on  July 17, 2019 at 1:59 AM News on IT in Healthcare
RSS Email Print This Page Comment bookmark
Font : A-A+

Smartwatches could detect a surprising number of things your hands are doing like helping your spouse with washing dishes, chopping vegetables or petting a dog, say researchers from Carnegie Mellon University.
Smartwatch can Sense If You are Chopping Vegetables or Petting a Dog
Smartwatch can Sense If You are Chopping Vegetables or Petting a Dog

By making a few changes to the smartwatch's operating system, they were able to use its accelerometer to recognise hand motions and, in some cases, bio-acoustic sounds associated with 25 different hand activities at around 95 percent accuracy.

Show Full Article


Those 25 activities (including typing on a keyboard, washing dishes, petting a dog, pouring from a pitcher or cutting with scissors) are just the beginning of what might be possible to detect, the researchers said.

"We envision smartwatches as a unique beachhead on the body for capturing rich, everyday activities," said Chris Harrison, Assistant Professor in Human-Computer Interaction Institute (HCII) at Carnegie.

"A wide variety of apps could be made smarter and more context-sensitive if our devices knew the activity of our bodies and hands," he added.

Just as smartphones now can block text messages while a user is driving, future devices that sense hand activity might learn not to interrupt someone while they are doing certain work with their hands.

Sensing hand activity also lends itself to health-related apps -- monitoring activities such as brushing teeth, washing hands or smoking a cigarette. Apps might alert users to typing habits that could lead to repetitive strain injury (RSI), or assess the onset of motor impairments such as those associated with Parkinson's disease. To reach this conclusion, Harrison and his team began their exploration of hand activity detection by recruiting 50 people to wear specially programmed smartwatches for almost 1,000 hours while going about their daily activities. More than 80 hand activities were labeled in this way, providing a unique dataset. For now, users must wear the smartwatch on their active arm, rather than the passive (non-dominant) arm where people typically wear wristwatches, for the system to work. Future experiments will explore what events can be detected using the passive arm. Harrison and HCII PhD student Gierad Laput presented the findings at "CHI 2019", the Association for Computing Machinery's conference on human factors in computing systems in Glasgow, Scotland.

Source: IANS

Post a Comment

Comments should be on the topic and should not be abusive. The editorial team reserves the right to review and moderate the comments posted on the site.
Notify me when reply is posted
I agree to the terms and conditions

Recommended Reading

More News on:

Amoebic Dysentery Why Do We Eat - Nutrition Facts Diet Lifestyle and Heart Disease Amyotrophic Lateral Sclerosis (ALS) The Acid-Alkaline balance, Diet and Health Acid Base Dietary Balance and its Influence on Our Health and Wellbeing Health benefits of bananas Snake Gourd Glory Radish - A Bountiful of Nutrition Brand-Food Rules for the New Year 

News A - Z

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

News Search

Medindia Newsletters

Subscribe to our Free Newsletters!

Terms & Conditions and Privacy Policy.

Stay Connected

  • Available on the Android Market
  • Available on the App Store

News Category

News Archive