azure kinect
SitPose: Real-Time Detection of Sitting Posture and Sedentary Behavior Using Ensemble Learning With Depth Sensor
Jin, Hang, He, Xin, Wang, Lingyun, Zhu, Yujun, Jiang, Weiwei, Zhou, Xiaobo
Abstract-- Poor sitting posture can lead to various work-related musculoskeletal disorders (WMSDs). Office employees spend approximately 81.8% of their working time seated, and sedentary behavior can result in chronic diseases such as cervical spondylosis and cardiovascular diseases. Our results show that the ensemble learning model based on the soft voting mechanism achieves the highest F1 score of 98.1%. Finally, we deployed the SitPose system based on this ensemble model to encourage better sitting posture and to reduce sedentary habits. Office workers typically remain seated throughout their provided insights into the health implications of prolonged workday due to the nature of their tasks and various other sedentary lifestyles. Consequently, many experience backaches, primarily cohort of 360,047 participants from the UK Biobank, delved due to their poor sitting posture and prolonged sedentary into the relationship between sedentary behavior (exceeding 6 habits. Furthermore, prolonged sitting can aims to mitigate such risks by introducing a novel double the risk of developing diabetes, as well as contribute to sitting posture health detection system that utilizes visual the accumulation of abdominal fat, leading to health problems detection technology to provide interactive reminders. The RoSeFi [5] system between increased durations of sedentary behavior in adopted WiFi channel state information to monitor sedentary the workplace and a decline in self-reported general health status.
- Asia > China > Tianjin Province > Tianjin (0.04)
- Asia > China > Jiangsu Province > Nanjing (0.04)
- Asia > China > Anhui Province (0.04)
- Health & Medicine > Consumer Health (1.00)
- Health & Medicine > Therapeutic Area > Musculoskeletal (0.88)
- Health & Medicine > Therapeutic Area > Cardiology/Vascular Diseases (0.54)
Microsoft Kinect is back, as a $399 IoT device
The Azure Kinect combines depth-sensing cameras with an array of microphones, connecting with Microsoft's cloud. At Microsoft's HoloLens 2 unveiling here in Barcelona at MWC 2019, another product made a quiet debut. The Xbox Kinect, an experimental motion-controlled camera and microphone array for games, died in 2017 and was a precursor to the HoloLens headset. But the Azure Kinect Developer Kit is back alongside the HoloLens 2 as a PC peripheral and developer kit, designed to also connect to the cloud and be used for computer vision-related tasks without a computer. The developer kit can be preordered now for $399 (about £300 or AU$560), a little over a tenth of the cost of the $3,500 HoloLens 2. To Microsoft, they're two parts of the same story.
Microsoft resurrects the Kinect, but for business
Even before a Hololens sequel could grace Microsoft's stage at MWC, the company has revived the Kinect, but in a button-downed business sense. Nearly a decade since the Kinect first launched, the Azure Kinect combines a depth sensor, high-def camera and a spatial microphone array. It's got an "intelligent edge", in that sees and hears in high levels of detail, but also interprets those inputs. The new camera module has a depth sensor with wide or narrow views, depending on the use case. According to Microsoft, early adopter users have already been using the new Kinect in very useful ways.
- Information Technology > Game Technology (1.00)
- Information Technology > Artificial Intelligence > Vision (0.37)