Mar 09, 2015 10:58 AM EDT By Staff Reporter, UniversityHerald Reporter

Spending hours on a computer or smartphone could result in a stiff neck and sometimes even a strained thumb.

Computer scientists at Saarland University have developed a procedure that simulates in a lifelike manner which muscles and joints are put under particular strain when using IT devices. It also demonstrates the speed and accuracy with which a user can operate a device.

The method uses cameras to capture the motion of a test subject and then projects these movements onto a model of the human body. The technique is of potential interest to product designers and occupational physicians.

For those who spend long periods of time working at a computer, tense shoulders, neck strain or a painful wrist are not uncommon among those who spend long periods of time working at a computer. This sort of problem can also arise when using the newer types of IT devices that have appeared on the market over the last few years such as smartphones and tablets.  For example, the use of gestures to control games consoles can cause particularly high levels of stress to shoulders or knees. Touch screens that require users to hold their arm in an extended position for long periods of time can also be problematic -- experts refer to this specific type of muscle fatigue as 'gorilla arm'.

To help designers and developers of new IT devices take into account those movements that create unnecessary bodily strain, graduate researcher Myroslav Bachynskyi and his colleagues have developed a tool that enables realistic simulation of user movements.

"Our approach combines three-dimensional motion capture with biomechanical simulation," Bachynskyi said.

In optical motion capture, a test subject wearing a special suit equipped with small optical markers performs a particular sequence of movements, such as waving his or her arms in order to control a computer game. The markers on the suit emit light that is recorded by special cameras. "To carry out the simulation, we use software to map these movements onto a model of the human body," Bachynskyi said.

To shed light on the actual biomechanical loads acting on specific body parts, the simulation program calculates a number of key parameters: the joint angles, the forces acting on the joints at any time during the movement, as well as muscle activation and fatigue.

"The model allows us to see precisely which part of the body is subjected to the greatest loading when a particular movement is performed, and so we can determine whether, say, the upper arm muscles or the elbow are under particular strain," explains Bachynskyi. "Our method also shows us how efficiently, that is, how quickly and accurately a user operates a particular piece of IT equipment."

The method offers a possibility to find an optimal combination of user performance and physical ergonomics.

The researchers will be showcasing their project from March 16th to March 20th at the Saarland University Stand at the Cebit computer expo in Hanover.

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