Abstract
Many existing motion sensing applications in research, entertainment and exercise monitoring are based on the Microsoft Kinect and its skeleton tracking functionality. With the Kinect’s development and production halted, researchers and system designers are in need of a suitable replacement. We investigated the interchangeability of the discontinued Kinect v2 and the all-in-one, image-based motion tracking system Orbbec Persee for the use in an exercise monitoring system prototype called ILSE. Nine functional training exercises were performed by six healthy subjects in front of both systems simultaneously. Comparing the systems’ internal tracking states from ’not tracked’ to ‘tracked’ showed that the Persee system is more confident during motion sequences, while the Kinect is more confident for hip and trunk joint positions. Assessing the skeleton tracking robustness, the Persee’s tracking of body segment lengths was more consistent. Furthermore, we used both skeleton datasets as input for the ILSE exercise monitoring including posture recognition and repetition-counting. Persee data from exercises with lateral movement and in uncovered full-body frontal view provided the same results as Kinect data. The Persee further preferred tracking of quasi-static lower limb motions and tight-fitting clothes. With these limitations in mind, we find that the Orbbec Persee is a suitable replacement for the Microsoft Kinect for motion sensing within the ILSE exercise monitoring system.
Highlights
Over recent decades, lifestyle factors such as sufficient physical activity were identified to reduce the risk for common health issues such as diabetes, obesity or cardiovascular diseases [1,2,3]
The tracking state analysis within this paper showed that the skeleton tracking of joints using the Orbbec
The Kinect v2 and Persee are based on two different motion sensing principles, the two systems show promising behavior when it comes to human movement tracking
Summary
Lifestyle factors such as sufficient physical activity were identified to reduce the risk for common health issues such as diabetes, obesity or cardiovascular diseases [1,2,3]. Lack of motivation, fear of injury and previous unpleasant experiences impede physical activity promotion interventions, in particular within the target group of people aged 65 years and older [10,11,12,13,14]. Functional training can be promoted or even guided [16,17,18] These exercise monitoring or guidance systems use motion sensing technologies such as wearable sensors or 3D cameras like the Microsoft Kinect. They record and automatically analyse the exercises performed, ideally at home in order to support active ageing of people before severe frailty [19,20]. The positive effect of exercise and, in particular, of functional training interventions on the quality of life has been observed by several studies [21,22,23]
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