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Present study was carried out to know the biology of white grub Anomala dimidiata (Hope) (Coleoptera: Scarabaeidae) collected from agricultural ecosystem with reference ecological conditions of Doon Valley. Anomala dimidiata (Hope) is a dominant species among the scarabaeid beetles and commonly distributed throughout India. Emergence of beetle is begun at the end of May when first pre-monsoon rain occurred, but peak emergence was observed in the second and third week of July after heavy rainfall. Maximum numbers of beetles were trapped during second and third week of July. Grubs were found throughout the year, causing severe damage to host plants. The males of this species show marked territorial behavior and chase the intruding conspecific females. During the study period, it was observed that the eggs are elongated, cylindrical and laid in clusters in. The observed copulation period was 40.0±14.14 min. The oviposition period was 8.0±1.41 days. The incubation period of eggs was 14.60±0.72 days. Larval period remained for 248 to 278 days. The pupal stage lasts for 14.70±0.62 days. The adult female is broadly oval, less convex shape and slightly larger than male. The stage lasts for 27.75±4.74 days. [ABSTRACT FROM AUTHOR]

We compared the performance of the Kinect skeletal data with the Kinect depth data in capturing different gait parameters during the Timed-up and Go Test (TUG) and Figure of 8 Walk Test (F8W). The gait parameters considered were stride length, stride time, and walking speed for the TUG, and number of steps and completion time for the F8W. A marker-based Vicon motion capture system was used for the ground-truth measurements. Five healthy participants were recruited for the experiment and were asked to perform three trials of each task. Results show that depth data analysis yields stride length and stride time measures with significantly low percentile errors as compared to the skeletal data analysis. However, the skeletal and depth data performed similar with less than 3% of absolute mean percentile error in determining the walking speed for the TUG and both parameters of F8W. The results show potential capabilities of Kinect depth data analysis in computing many gait parameters, whereas, the Kinect skeletal data can also be used for walking speed in TUG and F8W gait parameters.

In this paper, we present an interactive physical therapy system (IPTS) for remote quantitative assessment of clients in the home. The system consists of two different interactive interfaces connected through a network, for a real-time low latency video conference using audio, video, skeletal, and depth data streams from a Microsoft Kinect. To test the potential of IPTS, experiments were conducted with 5 independent living senior subjects in Kansas City, MO. Also, experiments were conducted in the lab to validate the real-time biomechanical measures calculated using the skeletal data from the Microsoft Xbox 360 Kinect and Microsoft Xbox One Kinect, with ground truth data from a Vicon motion capture system. Good agreements were found in the validation tests. The results show potential capabilities of the IPTS system to provide remote physical therapy to clients, especially older adults, who may find it difficult to visit the clinic.