scholarly journals AirConstellations: In-Air Device Formations for Cross-Device Interaction via Multiple Spatially-Aware Armatures

2021 ◽  
Author(s):  
Nicolai Marquardt ◽  
Nathalie Henry Riche ◽  
Christian Holz ◽  
Hugo Romat ◽  
Michel Pahud ◽  
...  
Keyword(s):  
Device Interaction

Fluid: Flexible User Interface Distribution for Ubiquitous Multi-Device Interaction

2020 ◽  
Vol 23 (4) ◽  
pp. 25-29
Author(s):  
Sangeun Oh ◽  
Ahyeon Kim ◽  
Sunjae Lee ◽  
Kilho Lee ◽  
Dae R. Jeong ◽  
...  
Keyword(s):  
User Interface ◽  
Device Interaction

scholarly journals Device interaction between Cardiac‐Contractility‐Modulation (CCM) und subcutaneus Defibrillator (S‐ICD)

2021 ◽  
Author(s):  
Luca Trolese ◽  
Thomas Faber ◽  
Alexander Gressler ◽  
Johannes Steinfurt ◽  
Judith Stuplich ◽  
...  
Keyword(s):  
Cardiac Contractility ◽  
Cardiac Contractility Modulation ◽  
Device Interaction

scholarly journals Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3087
Author(s):  
Sandi Ljubic ◽  
Franko Hržić ◽  
Alen Salkanovic ◽  
Ivan Štajduhar
Keyword(s):  
Magnetic Field ◽  
Neural Networks ◽  
Curve Fitting ◽  
Absolute Error ◽  
Interaction Space ◽  
Text Entry ◽  
Proof Of Concept ◽  
Field Sensor ◽  
Device Interaction ◽  
Input Techniques

In this paper, we investigate the possibilities for augmenting interaction around the mobile device, with the aim of enabling input techniques that do not rely on typical touch-based gestures. The presented research focuses on utilizing a built-in magnetic field sensor, whose readouts are intentionally affected by moving a strong permanent magnet around a smartphone device. Different approaches for supporting magnet-based Around-Device Interaction are applied, including magnetic field fingerprinting, curve-fitting modeling, and machine learning. We implemented the corresponding proof-of-concept applications that incorporate magnet-based interaction. Namely, text entry is achieved by discrete positioning of the magnet within a keyboard mockup, and free-move pointing is enabled by monitoring the magnet’s continuous movement in real-time. The related solutions successfully expand both the interaction language and the interaction space in front of the device without altering its hardware or involving sophisticated peripherals. A controlled experiment was conducted to evaluate the provided text entry method initially. The obtained results were promising (text entry speed of nine words per minute) and served as a motivation for implementing new interaction modalities. The use of neural networks has shown to be a better approach than curve fitting to support free-move pointing. We demonstrate how neural networks with a very small number of input parameters can be used to provide highly usable pointing with an acceptable level of error (mean absolute error of 3 mm for pointer position on the smartphone display).

A simulation tool for mechanical circulatory support device interaction with diseased states

2020 ◽  
Vol 23 (2) ◽  
pp. 124-132
Author(s):  
David J. Horvath ◽  
Dennis W. Horvath ◽  
Jamshid H. Karimov ◽  
Barry D. Kuban ◽  
Takuma Miyamoto ◽  
...  
Keyword(s):  
Mechanical Circulatory Support ◽  
Circulatory Support ◽  
Simulation Tool ◽  
Support Device ◽  
Mechanical Circulatory Support Device ◽  
Device Interaction ◽  
Circulatory Support Device

scholarly journals Construction of a comprehensive endovascular test bed for research and device development in mechanical thrombectomy in stroke

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Adithya S. Reddy ◽  
Yang Liu ◽  
Joshua Cockrum ◽  
Daniel Gebrezgiabhier ◽  
Evan Davis ◽  
...  
Keyword(s):  
Flow Rate ◽  
Hydraulic System ◽  
Mechanical Thrombectomy ◽  
Low Cost ◽  
Quality Analysis ◽  
Test Bed ◽  
Vessel Occlusion ◽  
Physiological Flow ◽  
3D Printed ◽  
Device Interaction

OBJECTIVEThe development of new endovascular technologies and techniques for mechanical thrombectomy in stroke has greatly relied on benchtop simulators. This paper presents an affordable, versatile, and realistic benchtop simulation model for stroke.METHODSA test bed for embolic occlusion of cerebrovascular arteries and mechanical thrombectomy was developed with 3D-printed and commercially available cerebrovascular phantoms, a customized hydraulic system to generate physiological flow rate and pressure, and 2 types of embolus analogs (elastic and fragment-prone) capable of causing embolic occlusions under physiological flow.RESULTSThe test bed was highly versatile and allowed realistic, radiation-free mechanical thrombectomy for stroke due to large-vessel occlusion with rapid exchange of geometries and phantom types. Of the transparent cerebrovascular phantoms tested, the 3D-printed phantom was the easiest to manufacture, the glass model offered the best visibility of the interaction between embolus and thrombectomy device, and the flexible model most accurately mimicked the endovascular system during device navigation. None of the phantoms modeled branches smaller than 1 mm or perforating arteries, and none underwent realistic deformation or luminal collapse from device manipulation or vacuum. The hydraulic system created physiological flow rate and pressure leading to iatrogenic embolization during thrombectomy in all phantoms. Embolus analogs with known fabrication technique, structure, and tensile strength were introduced and consistently occluded the middle cerebral artery bifurcation under physiological flow, and their interaction with the device was accurately visualized.CONCLUSIONSThe test bed presented in this study is a low-cost, comprehensive, realistic, and versatile platform that enabled high-quality analysis of embolus–device interaction in multiple cerebrovascular phantoms and embolus analogs.

scholarly journals Development of QoS Evaluation Algorithm for MQTT Protocol with Reference to Threat Model

2019 ◽  
Vol 8 (6) ◽  
pp. 1557-1562 ◽  
Keyword(s):  
Third Party ◽  
Quality Of Services ◽  
Network Attack ◽  
Factors Affecting ◽  
Threat Model ◽  
Evaluation Algorithm ◽  
Iot Devices ◽  
Device Interaction ◽  
Qos Evaluation

MQTT protocol is publishing-subscribing model for IoT communication. In case of Quality of Services analysis, it is important to check the request and responses between publisher and subscriber. Any threat in communication channel is mostly leads to delay in operation. Hence, if we able to identify the delay parameter, we can suggest by means of QoS that there is a immediate need of security check for IoT system. As many IoT devices performed in unchecked, complicated, and often aggressive surroundings, safe-guarding IoT units present many different challenges. The key purpose for support quality degradation of IoT device interaction can be harmful attacks. Plenty of gadgets are often susceptible to port attacks/botnets hits, such as network attack events, which usually assessed by performing QoS Analysis. To start with factors affecting Quality of Services (QoS), in this paper we developed QoS evaluation algorithm “MQoS” for MQTT protocol and considered QoS-0 as an evaluation parameter. This paper refers the threat model which represents the flow of threats for proposed case study and can help to identify QoS by evaluating the possible communication threats. End–to-end device communication requests and responses are needed to be evaluated for large systems to get the actual QoS parameters for that system. For this reason the actual QoS tests will be conducted for third party applications.In this paper we presented results of MQTTv311 simulation for cooling sensor system.

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