Although the algorithms allow accurate measurement of the main joints of the body, wrist movements are still very difficult to obtain reliably and robustly. Indeed, hands often interact with objects/tools during work tasks, which makes it very difficult to capture them with a single camera. Moreover, low-intensity wrist angulations remain highly impactful in measuring the risk of MSDs, hence the need to obtain a very accurate assessment of this joint.
To remedy this lack, the Moovency scientific team has developed “connected mittens” that slip under the collaborators’ work gloves and automatically obtains this missing information.
We have selected a system which fits with our values (simple to use, non-binding, accurate and robust). To do so, we started by creating a state of the art of the various existing solutions . In the light of this study, we selected the so-called technologie dite des centrales inertielles. Those sensors are composed of accelerometers, gyroscopes and most often accompanied by magnetometers to obtain segment orientations. Due to their small size and portability, they are increasingly used in the study of movement. [Jasiewicz2007, Kavanagh2008].
In order to guarantee the correct placement of the sensors we have made a mitten with pockets to insert the sensors with a predefined and anatomically valid placement. This mitten device therefore allows optimal placement of the sensors without prior anatomical knowledge.