Development of a mobile multi-device nutrition logger

Seiderer, Andreas; Flutura, Simon; André, Elisabeth

doi:10.1145/3141788.3141790

Cited by 13 publications

(24 citation statements)

References 23 publications

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“…Track papers often embrace an instrumental idea of technology, focusing on functionality rather than experiential or social factors, e.g. a multi-device food logging system that supports nutritional tracking [57]. While there are exceptions to this rule (e.g.…”

Section: Domain-specific Trendsmentioning

confidence: 99%

Making Sense of Human-Food Interaction

Bertran

Jhaveri

Lutz

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

110

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Activity in Human-Food Interaction (HFI) research is skyrocketing across a broad range of disciplinary interests and concerns. The dynamic and heterogeneous nature of this emerging field presents a challenge to scholars wishing to critically engage with prior work, identify gaps and ensure impact. It also challenges the formation of community. We present a Systematic Mapping Study of HFI research and an online data visualisation tool developed to respond to these issues. The tool allows researchers to engage in new ways with the HFI literature, propose modifications and additions to the review, and thereby actively engage in communitymaking. Our contribution is threefold: (1) we characterize the state of HFI, reporting trends, challenges and opportunities; (2) we provide a taxonomy and tool for diffractive reading of the literature; and (3) we offer our approach for adaptation by research fields facing similar challenges, positing value of the tool and approach beyond HFI. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models. * Altarriba Bertran and Wilde are co-first authors.

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Section: Domain-specific Trendsmentioning

confidence: 99%

Making Sense of Human-Food Interaction

Bertran

Jhaveri

Lutz

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

110

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“…Each container needed to be recalibrated every time, which was an issue with disposable containers. Seiderer et al combined a weight scale, a smartwatch, and a smartphone to monitor food and drink intake [ 163 ]. The author did not report any evaluation results.…”

Section: Fusionmentioning

confidence: 99%

Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature

2021

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Fluid intake monitoring is an essential component in preventing dehydration and overhydration, especially for the senior population. Numerous critical health problems are associated with poor or excessive drinking such as swelling of the brain and heart failure. Real-time systems for monitoring fluid intake will not only measure the exact amount consumed by the users, but could also motivate people to maintain a healthy lifestyle by providing feedback to encourage them to hydrate regularly throughout the day. This paper reviews the most recent solutions to automatic fluid intake monitoring both commercially and in the literature. The available technologies are divided into four categories: wearables, surfaces with embedded sensors, vision- and environmental-based solutions, and smart containers. A detailed performance evaluation was carried out considering detection accuracy, usability and availability. It was observed that the most promising results came from studies that used data fusion from multiple technologies, compared to using an individual technology. The areas that need further research and the challenges for each category are discussed in detail.

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“…if the foodstuff is self-prepared. In [28], a multi device system was developed to reduce the effort of manual logging by combining a smartwatch, smartphone and a mobile smartscale. The smartscale helps to estimate the foodstuff amount, which may play an important role in some use-cases.…”

Section: Recognition Of Foodstuff Type and Amountmentioning

confidence: 99%

Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors

Seiderer

Ritschel

André

2020

Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

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Elderly people could take benefit of speech assistants since they provide the most natural way to interact with assistive technology. Nevertheless, current speech assistants are mainly based on cloud-systems which are non-functional without a stable internet connection or introduce severe privacy-concerns. In this work we provide an overview of state-of-the-art available components for developing a privacy-by-design, open source speech assistant for seniors, as well as a fully functional implementation. We chose the health related task of getting nutrition information of packaged foodstuff for which we rely on an open data database. Our prototype was used in a workshop with two German seniors to gather further insights into the special requirements of elderly people, which can be taken into account for future speech assistants. CCS CONCEPTS • Human-centered computing → Natural language interfaces; • Applied computing → Consumer health; • Social and professional topics → Seniors.

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Development of a mobile multi-device nutrition logger

Cited by 13 publications

References 23 publications

Making Sense of Human-Food Interaction

Making Sense of Human-Food Interaction

Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature

Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors

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