[PDF] Top 20 An Adaptive Activity Recognition Approach in Smart Environments

... new smart devices that homeowners are interested in, these technologies keep developing and become easier to ...intelligent environments, where the combination of independence, constant supervision, and ... See full document

... A. Activity recognition in videos captured with single camera: In this paper [3] the author presents an approach to activity recognition, video matching and localization based on ... See full document

... computing environments, it is essential to recognize the activities performed by the user in real ...computing environments have almost every possible object embedded with some kind of ...The ... See full document

... based recognition approaches [12, 30], where NB identifies the activity corresponding to the sensor values with the high- est ...classification approach [34] groups the similar activities into ... See full document

... To detect the presence of a human on the thermal image, Philip et al. [5] have computed Fast-Fourier Transform (FFT) of a binned spherical mapping of the CHAMP with Haar-Cascade classifier method. Object detection deals ... See full document

... learning activity models and temporal seg- mentation of video into human activities, such as: human robot interaction, smart surveillance systems, and semantic video database ...an activity ... See full document

... Abstract—Activity recognition in smart homes plays an im- portant role in healthcare by maintaining the well being of elderly and patients through remote monitoring and assisted ...classification ... See full document

... Activity recognition in smart homes enables the remote monitoring of elderly and ...a recognition model is of high ...of activity instances result in over-fitting thus making ... See full document

... Such smart home technology now inter- faces with mobile phones, for example through the Apple iOS ...personal activity data and communication of that data with third-party applications and devices, such as ... See full document

... Abnormal activity detection plays a crucial role in an academic ...abnormal activity recognition in an academic ...abnormal activity recognition system the work is divided into three ... See full document

... certain activity registered over several days, in bins of 30 ...the activity frequency distribution covers substantially the 24 hours, without any significant time ...an activity, and suggests an ... See full document

... Abstract— Activity recognition has become one of the most interesting and challenging subjects in performing surveillance or monitoring of smart building ...such, activity recognition ... See full document

... are SMART (Self- Monitoring Analysis and Reporting Technology) [31], Linux Vmstat [37] and Tcpdump ...second approach intercepts process events and calls a procedure to inform about them (this ... See full document

... plate recognition (LPR) plays an important role in numerous applications such as unattended parking lots security control of restricted areas traffic law enforcement congestion pricing and automatic toll ... See full document

... our smart learning environment, we direct our attention towards the ubiquitous learning ...regarding smart learning environments to review the available literature to gauge the different motivational ... See full document

... using smart phone sensors to detect physical ...Recently, smart phones, equipped with a rich set of sensors, are explored as alternative platforms for human activity ...Automatic recognition ... See full document

... Permanent repository link: http://openaccess.city.ac.uk/13056/ Link to published version: http://dx.doi.org/10.1016/j.asoc.2015.03.045 Copyright and reuse: City Research Online aims to m[r] ... See full document

... Vision-based techniques: Vision or camera-based systems provide very rich personal and environmental data for falls detection and activity recognition systems [11]. Ambient-based techniques: Sensors that ... See full document

... The approach presented in (Anasol et al., 2012) proposes the creation then the use of a virtual laboratory by the combination of xReality, [11] virtual objects and learning activities in a mixed reality learning ... See full document

... In this paper we have presented a computationally effi- cient method for real-time human action recognition us- ing a finite set of features directly derived from differen- ce frames of action snippet. Such ... See full document