Frank, Sebastian ; Kuijper, Arjan (2020)
NannyCaps - Monitoring Child Conditions and Activity in Automotive Applications Using Capacitive Proximity Sensing.
22nd HCI International Conference. (19.07.2020-24.07.2020)
doi: 10.1007/978-3-030-59987-4_6
Conference or Workshop Item, Bibliographie
Abstract
Children have to be transported safely. Securing children in a child seat is indicated. Due to structure and restraint systems, children are secured in case of an accident. Children require our attention to keep them healthy and at good mood. Nonetheless, attention must be payed to driving, too. This discrepancy leads to unattended children. Furthermore, responsible must decide to leave their children alone in the vehicle in case of emergencies. This may lead to heat strokes. Aside of limiting effects of an accident, it would be helpful to assist ambulance after an emergency and to detect injuries even without accident. Besides safety features, preserving good mood of children is an exquisite comfort feature. This can be achieved without privacy issues as they would occur using camera-based systems. The proposed solution, NannyCaps, is designed to contribute to safety and comfort. An invisible array of capacitive proximity sensors enables head position recognition, sleep state recognition, heart rate recognition and occupancy recognition. The system is included into the child seat, only. In this paper, we present the design and implementation of Nanny- Caps. By conducting ten test runs under real world conditions, more than 600km of data is collected. Using this data, NannyCaps is trained and evaluated. Reasonable results are shown in evaluation. Thus, following the development of NannyCaps will likely improve the situation for children in transportation systems.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2020 |
| Creators: | Frank, Sebastian ; Kuijper, Arjan |
| Type of entry: | Bibliographie |
| Title: | NannyCaps - Monitoring Child Conditions and Activity in Automotive Applications Using Capacitive Proximity Sensing |
| Language: | English |
| Date: | 4 November 2020 |
| Publisher: | Springer |
| Book Title: | HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments |
| Event Title: | 22nd HCI International Conference |
| Event Dates: | 19.07.2020-24.07.2020 |
| DOI: | 10.1007/978-3-030-59987-4_6 |
| URL / URN: | https://doi.org/10.1007/978-3-030-59987-4_6 |
| Abstract: | Children have to be transported safely. Securing children in a child seat is indicated. Due to structure and restraint systems, children are secured in case of an accident. Children require our attention to keep them healthy and at good mood. Nonetheless, attention must be payed to driving, too. This discrepancy leads to unattended children. Furthermore, responsible must decide to leave their children alone in the vehicle in case of emergencies. This may lead to heat strokes. Aside of limiting effects of an accident, it would be helpful to assist ambulance after an emergency and to detect injuries even without accident. Besides safety features, preserving good mood of children is an exquisite comfort feature. This can be achieved without privacy issues as they would occur using camera-based systems. The proposed solution, NannyCaps, is designed to contribute to safety and comfort. An invisible array of capacitive proximity sensors enables head position recognition, sleep state recognition, heart rate recognition and occupancy recognition. The system is included into the child seat, only. In this paper, we present the design and implementation of Nanny- Caps. By conducting ten test runs under real world conditions, more than 600km of data is collected. Using this data, NannyCaps is trained and evaluated. Reasonable results are shown in evaluation. Thus, following the development of NannyCaps will likely improve the situation for children in transportation systems. |
| Uncontrolled Keywords: | Capacitive proximity sensing, Advanced driver assistance systems (ADAS), Physical activity monitoring |
| Additional Information: | Part of the Lecture Notes in Computer Science book series (LNCS, volume 12429) |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems 20 Department of Computer Science > Mathematical and Applied Visual Computing |
| Date Deposited: | 02 Dec 2020 12:32 |
| Last Modified: | 02 Dec 2020 12:34 |
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