[PDF] Top 20 Activity recognition in the home setting using simple and ubiquitous sensors

... An end-user installation method is proposed using "stick on" wireless object usage sensors. The method is then evaluated employing two in-situ, exploratory user stud[r] ... Voir le document complet

... Smart home, Vocal distress call, Applications of speech technology for Ambient Assisted Living ...increased in all countries of the European Union in the last ...Therefore the ... Voir le document complet

... 3. The Smart Home Our research team has access to a real-size smart home prototype and conducts experimental research inside the ...smart home is an infrastructure comprising a ... Voir le document complet

... nodes and links between the pairs of nodes. In this case, the sensing modules are considered to be the nodes of the constructed network, and they represent the ... Voir le document complet

... of activity recognition algorithm However, consider a single axis does not necessarily mean that the recognized activity is the current correct ...Consequently, the maximum value ... Voir le document complet

... Conclusion In this paper, we have addressed the need of providing event based place de- tection for behavior monitoring in visual lifelog, by exploiting the same camera sensor that is used for ... Voir le document complet

... actual setting, deployed in one-bedroom apartment occupied by two ...intrusive sensors was placed in each room, to measure environmental conditions and motion ...collected in ... Voir le document complet

... good activity recognition results[ 6 ...considered using spatial reasoning to recognize a resident’s activities of daily living[ 7 ...]. The vast majority of assisted living approaches focus ... Voir le document complet

... approach The comparison of this method with those achieved previously, is relatively ...worked in various environments and had different end ...equipment and installation, since our system to ... Voir le document complet

... PPROACH The main advantages of using fuzzy logic system are the simplicity of the approach and the capacity of dealing with the complex data acquired from the ... Voir le document complet

... and air-conditioning systems, interfaces to service and building control systems, remote control, metering, audio video ...coexist in Domus, such as UPnP (Universal Plug and Play) for ... Voir le document complet

... In this work, a system for recognizing activities in the home setting that uses a set of small and simple state-change sensors, machine learning algorithms, and e[r] ... Voir le document complet

... of the targeted population [59] 1 ...vary in a ...[32] and wearable devices [87]. In the first case, putting RFID tags on objects makes the maintenance of Smart Homes burdensome ... Voir le document complet

... speech and sounds The detection part of the system is not specifically evaluated because of the lack of time to label all the sound events on the 7 ...all the results ... Voir le document complet

... Abstract: Activity recognition is important for security and safety in many domains, such as surveillance and health ...triggered and driven by environ- mental ...chose ... Voir le document complet

... Moreover, many errors can be detected only by using the spatial reasoning such as position problems (inappropriate objects are brought into the activity zone) or orientation of object is[r] ... Voir le document complet

... group activity recognition approaches [4], [16], [18], [23], [32], [40] typically tackle this problem by de- composing it into two parts: feature learning and relational ...reasoning. The ... Voir le document complet

... Abstract—Activity recognition aims at recognizing and under- standing the movements, actions, and objectives of mobile ...or simple artefacts. Many important and critical ... Voir le document complet

... ESULTS The different feature subsets were determined from the original dataset according to the two methods de- tailed in Section ...for the PCA subset of features and other ... Voir le document complet

... (DNN): in [2], intents were directly inferred from audio MFCC features training a sequence-to-sequence (seq2seq) model on clean and noisy speech ...an in-house corpus (35 types of intent), while a ... Voir le document complet