Privacy by Design Principles in Design of New Generation Cognitive Assistive Technologies

Kolkowska, Ella; Kristofferson, Annica

doi:10.1007/978-3-319-33630-5_26

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…The seventh and last principle calls for the respect of end user's privacy and keeping it user-centric. This means that privacy has to be top of mind for all stakeholders involved in an IT system design and production process every time and all the times (Kolkowska & Kristofferson, 2016).…”

Section: Principle # 7: Respect For User Privacy -Keep It User-centricmentioning

confidence: 99%

Privacy by design : principles as a foundation to a more secure Internet of Things

Al-Rejleh¹

2021

Preprint

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The Internet of Things (IoT) is a revolutionary concept that emerged in the late 21st century, whereby everyday objects such as household items, cars, and wearables, equipped with sensors and (Radio Frequency Identification) RFID chips, can communicate with the internet and to their physical surroundings. These chips allow the connected items to share information, and allow the user to collect information about his/her “quantified self”, measuring personal data such as habits of usage, lifestyle, and location through internet networks. IoT enabled devices are designed to collect, store, share, and analyze of highly personal data ubiquitously and in real time. However, with this new affordance of connectivity, comes a potential loss of privacy for users, as ever increasing sets of personal data are collected and tracked. As such, there is a pressing need for privacy considerations to be embedded within the early stages of design of connected devices and networks.

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Section: Principle # 7: Respect For User Privacy -Keep It User-centricmentioning

confidence: 99%

Privacy by design : principles as a foundation to a more secure Internet of Things

Al-Rejleh¹

2021

Preprint

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“…These applications, however, use an internet connection to process the speech and produce word recognition. This requirement greatly reduces the applicability of speech recognition devices for assistive technologies as they should operate without any exterior dependency due to safety and autonomy concerns [18,19]. Also, the use of the internet for processing the data can pose some privacy issues for the users.…”

Section: Introductionmentioning

confidence: 99%

Efficient Self-Attention Model for Speech Recognition-Based Assistive Robots Control

Poirier

Côté-Allard

Routhier

et al. 2023

Sensors

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Assistive robots are tools that people living with upper body disabilities can leverage to autonomously perform Activities of Daily Living (ADL). Unfortunately, conventional control methods still rely on low-dimensional, easy-to-implement interfaces such as joysticks that tend to be unintuitive and cumbersome to use. In contrast, vocal commands may represent a viable and intuitive alternative. This work represents an important step toward providing a viable vocal interface for people living with upper limb disabilities by proposing a novel lightweight vocal command recognition system. The proposed model leverages the MobileNet2 architecture, augmenting it with a novel approach to the self-attention mechanism, achieving a new state-of-the-art performance for Keyword Spotting (KWS) on the Google Speech Commands Dataset (GSCD). Moreover, this work presents a new dataset, referred to as the French Speech Commands Dataset (FSCD), comprising 4963 vocal command utterances. Using the GSCD as the source, we used Transfer Learning (TL) to adapt the model to this cross-language task. TL has been shown to significantly improve the model performance on the FSCD. The viability of the proposed approach is further demonstrated through real-life control of a robotic arm by four healthy participants using both the proposed vocal interface and a joystick.

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Development of a metric to evaluate the ergonomic principles of assistive systems, based on the DIN 92419

2022

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Privacy by Design Principles in Design of New Generation Cognitive Assistive Technologies

Cited by 4 publications

References 10 publications

Privacy by design : principles as a foundation to a more secure Internet of Things

Privacy by design : principles as a foundation to a more secure Internet of Things

Efficient Self-Attention Model for Speech Recognition-Based Assistive Robots Control

Development of a metric to evaluate the ergonomic principles of assistive systems, based on the DIN 92419

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