Virtual home assistant for voice based controlling and scheduling with short speech speaker identification

Tiwari, Varun; Hashmi, Mohammad Farukh; Keskar, Avinash G.; Shivaprakash, N. C.

doi:10.1007/s11042-018-6358-x

Cited by 17 publications

(17 citation statements)

References 36 publications

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“…Res. Public Health 2021, 18, 1113 2 of 13 cost, may foster older adults' abilities to manage chronic conditions [12][13][14] and support independent living [13][14][15][16][17] and may reduce actual or perceived caregiver burdens [14,16]. Research findings suggest that many older adults are interested in learning about and using technology to promote their independence, function, and ability to age in place [5,12,16,17].…”

Section: Introductionmentioning

confidence: 99%

“…Current VHAs have a wide range of voice-activated capabilities enabling assistance with the functions of independent living, communication, and entertainment. VHAs work through access to the internet and can be used to access and control other devices, such as smartphones, TVs, lights, alarm systems, and other "smart" technology [18]. These capabilities may be particularly beneficial to older adults with chronic conditions [16].…”

Section: Introductionmentioning

confidence: 99%

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Virtual Home Assistant Use and Perceptions of Usefulness by Older Adults and Support Person Dyads

Corbett

Wright

Owens

et al. 2021

IJERPH

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Aim: Describe virtual home assistant use and usefulness from the perspective of older adults and their support persons. Methods: This was a mixed-methods study with older adults and their support persons (n = 10 dyads). Virtual home assistant (VHA) equipment was installed in participants’ homes, and its use was documented for 60 days. Participants received protocol-guided telephone calls to address their VHA questions or problems. The type and frequency of VHA use were summarized with descriptive statistics. End-of-study interviews about VHA use were conducted with dyad participants. Qualitative content analyses were used to describe the interview findings about the dyad’s perceptions of using the VHA, how it was used, any difficulties experienced, and suggestions for future VHA uses. Results: Participant dyads reported positive VHA perceptions, including the potential for VHAs to promote aging in place. Participants discussed the challenges learning the technology and replacing old habits with new ones. Participants offered recommendations for future VHA skills and for more education and training about using the VHA. Conclusions: The study findings suggest that VHAs may be useful for older adults as they age in place and offer reassurance for support persons.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Virtual Home Assistant Use and Perceptions of Usefulness by Older Adults and Support Person Dyads

Corbett

Wright

Owens

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Recent research on home assistants includes the proposal of different types of assistants, including a cloud-connect assistant for voice-based controlling and scheduling, integrating speaker identification [ 34 ]; a voice assistant running on a Raspberry Pi, which was integrated with a home surveillance system including a camera and face recognition capabilities [ 35 ]; and a conversational assistant for supporting smart decision-making, predictive and preventive analytics, based on Telegram, Google Dialogflow, and a Raspberry Pi [ 36 ].…”

Section: Background and Related Workmentioning

confidence: 99%

An Accessible Smart Home Based on Integrated Multimodal Interaction

Rocha

Ketsmur

Almeida

et al. 2021

Sensors

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Our homes are becoming increasingly sensorized and smarter. However, they are also becoming increasingly complex, making accessing them and their advantages difficult. Assistants have the potential for improving the accessibility of smart homes, by providing everyone with an integrated, natural, and multimodal way of interacting with the home’s ecosystem. To demonstrate this potential and contribute to more environmentally friendly homes, in the scope of the project Smart Green Homes, a home assistant highly integrated with an ICT (Information and communications technology) home infrastructure was developed, deployed in a demonstrator, and evaluated by seventy users. The users’ global impression of our home assistant is in general positive, with 61% of the participants rating it as good or excellent overall and 51% being likely or very likely to recommend it to others. Moreover, most think that the assistant enhances interaction with the smart home’s multiple devices and is easy to use by everyone. These results show that a home assistant providing an integrated view of a smart home, through natural, multimodal, and adaptive interaction, is a suitable solution for enhancing the accessibility of smart homes and thus contributing to a better living ambient for all of their inhabitants.

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“…In addition to voice, they have heart rate detection, motion gesture recognition, etc. A smart voice assistance system was presented in [34], which can accept voice commands from a home environment. It is a short speech speaker identification approach, and it made use of the vector quantization, mel frequency cepstral coefficients and principal component analysis ensued with the Gaussian mixture classification model.…”

Section: Related Workmentioning

confidence: 99%

Speaker Identification Approach for the Post-pandemic Era of Internet of Things

Saleema

Thampi

2021

Lecture Notes in Electrical Engineering

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With the rapid aggravation of COVID-19 pandemic, the organizations, industries, institutions, etc., are forced to rapidly adapt to social distancing by limiting physical contact and thereby limit the person to person contamination. The scenario of Internet of things in the post COVID era will be interesting indeed. Inorder to ensure public health, the social distancing and semi lockdown will continue in the foreseeable future, and therefore, the need of secure remote person authentication methods is being more and more critical especially in the Internet of things which is a multitude of networks consisting of a huge number of uniquely identifiable devices. As far as human_device authentication strategies are concerned, the one which needs less human involvement will be preferable in a post COVID-19 IoT scenario. Moreover, since the range of IoT devices may span from tiny sensors to complex machines, an authentication method which will be adaptable to each and every type of device will be more welcomed. Considering these facts, voice biometric authentication seems to be the most suitable one which can provide a balanced mix of security, adaptivity and convenience to such an advanced world of connectivity. Here, we introduce a lightweight text independent voice biometric method for IoT using extreme learning machines, and we perform a comparative analysis with a deep learning-based method of speaker identification using 3D convolutional neural networks. We have performed experimental study using different datasets and concluded that the extreme learning-based method is more suitable for IoT, considering the trade-off between the recognition accuracy and the training time requirements.

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Virtual home assistant for voice based controlling and scheduling with short speech speaker identification

Cited by 17 publications

References 36 publications

Virtual Home Assistant Use and Perceptions of Usefulness by Older Adults and Support Person Dyads

Virtual Home Assistant Use and Perceptions of Usefulness by Older Adults and Support Person Dyads

An Accessible Smart Home Based on Integrated Multimodal Interaction

Speaker Identification Approach for the Post-pandemic Era of Internet of Things

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