Smart home
Context-Aware Voice-based Interaction in Smart Home -VocADom@A4H Corpus Collection and Empirical Assessment of its Usefulness
... as Smart Homes, are emerging as a way to fulfill this goal ...Furthermore Smart Homes can support older adults and people with disabilities by moni- toring the person’s health and behavior through sensors ...
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Smart home-based prediction of multi-domainsymptoms related to Alzheimer's Disease
... The smart home sensor data used for this study was collected from 2011 through 2016, a period in which the data were col- lected continuously for durations ranging from <1 month to 60 months (M = ...
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A french corpus of audio and multimodal interactions in a health smart home
... of smart home, such system could also be specialized with a specific training for each individual (to tune the generic ...the smart home, it could be done quickly and easily with a little ...
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Detection of Behavioral Changes on Activities Daily Routine in a Smart Home using Heatmaps
... V. REAL-LIFE CASE STUDY Experiments were performed on the Aruba dataset [19]. It describes an elderly woman carrying out daily activities in a smart home, without any kind of supervision or scripted ...
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Light Node Communication Framework : a new way to communicate inside a Smart Home
... Light Node Communication Framework : a new way to communicate inside a Smart Home Valère Plantevin 1 , Abdenour Bouzouane 2 and Sebastien Gaboury 3 1 UQAC; valere.plantevin1@uqac.ca 2 UQAC; ...
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Towards a French Smart-Home Voice Command Corpus: Design and NLU Experiments
... in smart-homes, semantically an- notated large voice command corpora for Natural Language develop- ment (NLU) are scarce, especially for languages other than ...small smart home corpus the models ...
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A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home
... at home we must know all the routine activities of the occupant in order to be able to remotely recognize (without disturbing) unusual ...his smart home during one ...
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Integrating prior Knowledge in Weighted SVM for Human Activity Recognition in Smart Home
... Keywords: Activity recognition; Feature extraction; PCA; LDA; Weighted SVM. 1 Introduction Several classification algorithms have been employed for Human Activity Recognition (HAR) tasks [1, 2, 3, 4] to automatically ...
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A pervasive multi-sensor data fusion for smart home healthcare monitoring
... Fig. 3. Structure of the fuzzy classifier. IV. I MPLEMENTATION A. Fuzzy Classifier The main advantages of using fuzzy logic system are the simplicity of the approach and the capacity of dealing with the complex data ...
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2018 — Privacy-preserving framework for smart home using attribute based encryption
... like smart phones, wearable devices, smart home and ...machine, smart- vehicles to assisted ...and smart home as the case ...
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Smart home-based prediction of multi-domainsymptoms related to Alzheimer's Disease
... The smart home sensor data used for this study was collected from 2011 through 2016, a period in which the data were col- lected continuously for durations ranging from <1 month to 60 months (M = ...
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Experimental Evaluation of Speech Recognition Technologies for Voice-based Home Automation Control in a Smart Home
... evaluation, Smart Home, Ambient Assisted Living ...their home as comfortably and safely as possible by assisting them in their daily ...of Smart homes and intelligent companions is seen as a ...
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Efficient and inexpensive method for activity recognition within a smart home based on load signatures of appliances
... more smart meters and smart analyzers were released on the market to extract well-defined load signatures and/or for performing autonomously the various monitoring operations as ...these smart ...
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Corpus generation for voice command in smart home and the effect of speech synthesis on End-to-End SLU
... closest data sets are either voice based but without voice commands (Fleury et al., 2013) or designed for other tasks (Chahuara et al., 2016). To deal with this data scarcity for the French language, we applied Natural ...
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Distant Speech Processing for Smart Home Comparison of ASR approaches in distributed microphone network for voice command
... new home and users) 2 ...a home automation system must be kept as simple as possible with minimal restrictions on the material to be bought and on where it should be ...our smart home with ...
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Fusion of Audio and Temporal Multimodal Data by Spreading Activation for Dweller Localisation in a Smart Home
... Grenoble, F-38041, FRANCE {pedro.chahuara,francois.portet,michel.vacher}@imag.fr Abstract In this paper, an approach to locate a person using non visual sensors in a smart home is presented. The information ...
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Recognition of Distress Calls in Distant Speech Setting: a Preliminary Experiment in a Smart Home
... Our experiments aims at obtaining SGMM shared parame- ters using both S WEET -H OME data (7h), Voix-détresse (28mn) and clean data (ESTER+REPERE 500h). Regarding the GMM part, the three training data set are just merged ...
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SLU FOR VOICE COMMAND IN SMART HOME: COMPARISON OF PIPELINE AND END-TO-END APPROACHES
... In this paper, we present a comparison of the pipeline and E2E approaches for the task of voice command in smart homes. Since there are no large non-English domain-specific data sets available, although needed for ...
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Context-aware decision making under uncertainty for voice-based control of smart home
... However, currently the main trend for knowledge representation in smart environments is the use of ontologies based on Description Logic (DL). Even if DL has a reduced expressiveness compared with First Order ...
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Influence of expressive speech on ASR performances: application to elderly assistance in smart home
... a smart home, we have to be extremely vigilant on the physiologic, functional and communicative context of utterances to recognize: a high amount of data must be recorded in order to obtain a robust ...
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