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  For dealing with a classification problem, machine learning techniques can be applied. These techniques use a gesture training set, in which each gesture is labeled to generate a classifier\cite{Iba_ez_2014}. Here we enumerate four major challenges to vision based human action recognition. The first is low level challenges. Occlusions, cluttered background, shadows, and varying illumination conditions can produce difficulties for motion segmentation and alter the way actions are perceived. This is a major difficulty of activity recognition from RGB videos. The introduction of 3D data largely alleviates the low-level difficulties by providing the structure information of the scene. The second challenge is view changes . The same actions can generate a different "appearance" from different perspectives \cite{Aggarwal_2014}. Face databases are crucial for evaluation and validation of pro-posed methods in research. Many researchers built their own face databases for specific applications.For instance,most of the research summarized in the previous sections are evaluated on private and size limited datasets.Using the same dataset and evaluation protocol is essential for research reproducibility and fair comparison of different works. A number of face databases acquired with Kinect sensors have been recently made available for research purposes.These databases have been collected to study various problems related to human faces\cite{Boutellaa_2015}. And they address several problems such as sensor calibration,automatic integration time and data filtering schemes for outliers measurements removal.compare the accuracy of two ToF cameras and the Kinect SL camera to a precise laser range sensor(a LRF)\cite{Sarbolandi_2015}. Lastly, some problems occur with MBS in daily practice: accuracy and mainly reproducibility of such a system is still controversial for the estimation of joint centers and relative segment orientations. This can be explained by the fact that small errors in marker placement and soft tissue artifacts are causing larger errors in the estimation of the joint centers and the relative segment orientations\cite{Bonnech_re_2014}.    The economic advancement of the different countries such as China, Brazil, Russia, and India have continued to grow even with global recession. However, in much of today's developing world, the said economic growth accompanies the effect of rampant pollution, especially in urban areas. The lack of strict environmental regulations and implementations on pollution has lead to depreciation of the basic requirements for life which are the air, water, and soil. \cite{Abraham_2013} Thus, it is a certain fact that one of today's big problem is the pollution. Even though the government, the different schools and the many non-government organizations are encouraging everyone to join seminars and green projects about environmental awareness, all of these seem to be not enough since there are still a wide population of people who lacks discipline and education on the said issue.Since the gaming industry emerged as one of the most popular trends of today, the researchers have utilized it by proposing a game using Kinect Principle with the application of Collision detection that can help educate and promote environmental awareness to the people.