scholarly journals Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

2021 ◽  
Vol 15 (23) ◽  
pp. 164-177
Author(s):  
Aznilinda Zainuddin ◽  
Nur Aliah Zubir ◽  
Nor Aqilah Aminuddin ◽  
Nur Dalila Khirul Ashar ◽  
Mohd Ezwan Mahadan
Keyword(s):  
User Interfaces ◽  
Low Cost ◽  
Daily Routine ◽  
Personal Assistance ◽  
Voice Command ◽  
Physical Mobility ◽  
Technical Competency ◽  
Voice Control ◽  
Restricted Mobility ◽  
Mobility Impaired

People with physical mobility disabilities experience limited ability to perform daily routine. Integration between home appliances and Internet of Thing (IoT) can be used to support these people. The technology allows tasks to be performed much more easily and enable access to applications and services that would be a challenge with existing digital user interfaces. However, the developed system that is commercially available is costly and equipped with highly specific interfaces which may require considerable technical competency to conduct system interfacing. The purpose of this study is to develop a low cost IOT system for voice-enabled lamp control by utilizing Google Assistant that is available in commercial Android based mobile devices, allowing user to operate lighting appliances without moving. Personal assistance using Google platform embedded with Arduino microcontroller, ESP8266-based NodeMCU development board and integrated Blynk application allow for remote monitoring capability. The system is remotely controlled from a tablet or smartphone to assist disabled people with restricted mobility, in particular those with lower limb disabilities. The system had been tested and demonstrated that the lamp control can be easily accessed by voice command that is then validated using voice pitch analyzer. Test result indicated that capability of the integrated voice control system is verified up to a maximum distance of 24.5 meter, making it a potential implementation in any customized smart home or room system for people with mobile disability.        

scholarly journals Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2944
Author(s):  
Benjamin James Ralph ◽  
Marcel Sorger ◽  
Benjamin Schödinger ◽  
Hans-Jörg Schmölzer ◽  
Karin Hartl ◽  
...  
Keyword(s):  
Open Source ◽  
User Interfaces ◽  
Industrial Revolution ◽  
Low Cost ◽  
Material Behavior ◽  
Sensor Data ◽  
Management Tool ◽  
Special Focus ◽  
Programming Environments ◽  
Metal Processing

Smart factories are an integral element of the manufacturing infrastructure in the context of the fourth industrial revolution. Nevertheless, there is frequently a deficiency of adequate training facilities for future engineering experts in the academic environment. For this reason, this paper describes the development and implementation of two different layer architectures for the metal processing environment. The first architecture is based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments. Additionally, one proprietary and two open-source graphical user interfaces (GUIs) were developed. Those interfaces can be adapted front-end as well as back-end, ensuring a holistic comprehension of their capabilities and limits. As a result, a six-layer architecture, from digitization to an interactive project management tool, was designed and implemented in the practical workflow at the academic institution. To take the complexity of thermo-mechanical processing in the metal processing field into account, an alternative layer, connected with the thermo-mechanical treatment simulator Gleeble 3800, was designed. This framework is capable of transferring sensor data with high frequency, enabling data collection for the numerical simulation of complex material behavior under high temperature processing. Finally, the possibility of connecting both systems by using open-source software packages is demonstrated.

Human–robot interaction via voice-controllable intelligent user interface

Robotica ◽  
2007 ◽  
Vol 25 (5) ◽  
pp. 521-527 ◽  
Author(s):  
Harsha Medicherla ◽  
Ali Sekmen
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Spatial Reasoning ◽  
User Preferences ◽  
Human Robot Interaction ◽  
Manual Control ◽  
Reasoning Ability ◽  
Robot Interaction ◽  
Intelligent User Interface ◽  
Voice Control

SUMMARYAn understanding of how humans and robots can successfully interact to accomplish specific tasks is crucial in creating more sophisticated robots that may eventually become an integral part of human societies. A social robot needs to be able to learn the preferences and capabilities of the people with whom it interacts so that it can adapt its behaviors for more efficient and friendly interaction. Advances in human– computer interaction technologies have been widely used in improving human–robot interaction (HRI). It is now possible to interact with robots via natural communication means such as speech. In this paper, an innovative approach for HRI via voice-controllable intelligent user interfaces is described. The design and implementation of such interfaces are described. The traditional approaches for human–robot user interface design are explained and the advantages of the proposed approach are presented. The designed intelligent user interface, which learns user preferences and capabilities in time, can be controlled with voice. The system was successfully implemented and tested on a Pioneer 3-AT mobile robot. 20 participants, who were assessed on spatial reasoning ability, directed the robot in spatial navigation tasks to evaluate the effectiveness of the voice control in HRI. Time to complete the task, number of steps, and errors were collected. Results indicated that spatial reasoning ability and voice-control were reliable predictors of efficiency of robot teleoperation. 75% of the subjects with high spatial reasoning ability preferred using voice-control over manual control. The effect of spatial reasoning ability in teleoperation with voice-control was lower compared to that of manual control.

Improving quality of life for dialysis patients through telecare

2000 ◽  
Vol 6 (1_suppl) ◽  
pp. 80-83 ◽  
Author(s):  
Karl A Stroetmann ◽  
Peter Gruetzmacher ◽  
Veli N Stroetmann
Keyword(s):  
Quality Of Life ◽  
Low Cost ◽  
Video Communication ◽  
Daily Routine ◽  
Dialysis Patients ◽  
Home Dialysis ◽  
Service Support ◽  
Initial Results ◽  
Selection Of

Home dialysis can improve the care and quality of life for patients with renal failure. We have explored the possibility of extending home care to more patients needing continuous ambulatory peritoneal dialysis (CAPD) using telemedicine. We tested videoconferencing support for five CAPD patients using low-cost ISDN equipment (128 kbit/s). Initial results indicated that it was possible to integrate video-communication into the daily routine of the clinic and the response from patients was surprisingly positive. Selection of appropriate, affordable technology and the ISDN service support by the telecommunications provider proved to be considerably more difficult than anticipated. The first indications also suggest medical advantages for home teledialysis.

Fast and Flexible Visualization Using an Enhanced Scene Graph

2018 ◽  
Author(s):  
Martin Gebert ◽  
Wolfgang Steger ◽  
Ralph Stelzer
Keyword(s):  
User Interfaces ◽  
Low Cost ◽  
Engineering Industry ◽  
Product Development Process ◽  
Engineering Applications ◽  
Product Data ◽  
Scene Graph ◽  
Head Mounted Displays ◽  
Visualization Process ◽  
Game Engines

Virtual Reality (VR) visualization of product data in engineering applications requires a largely manual process of translating various product data into a 3D representation. Modern game engines allow low-cost, high-end visualization using latest stereoscopic Head-Mounted Displays (HMDs) and input controllers. Thus, using them for VR tasks in the engineering industry is especially appealing. As standardized formats for 3D product representations do not currently meet the requirements that arise from engineering applications, the presented paper suggests an Enhanced Scene Graph (ESG) that carries arbitrary product data derived from various engineering tools. The ESG contains formal descriptions of geometric and non-geometric data that are functionally structured. A VR visualization may be derived from the formal description in the ESG immediately. The generic elements of the ESG offer flexibility in the choice of both engineering tools and renderers that create the virtual scene. Furthermore, the ESG allows storing user annotations, thereby sending feedback from the visualization directly to the engineers involved in the product development process. Individual user interfaces for VR controllers can be assigned and their controls mapped, guaranteeing intuitive scene interaction. The use of the ESG promises significant value to the visualization process as particular tasks are being automated and greatly simplified.

scholarly journals Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1082
Author(s):  
Luiz Felipe da Silva ◽  
Paulo Francisco de Almeida-Neto ◽  
Dihogo Gama de Matos ◽  
Steven E. Riechman ◽  
Victor de Queiros ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Reliability Index ◽  
High Reliability ◽  
Low Cost ◽  
Time Trial ◽  
Prediction Equation ◽  
Daily Routine ◽  
Negative Consequences ◽  
Maximum Effort ◽  
And Performance

Background: The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a tool that uses only the performance of short distances but is highly predictive, offering a time expectancy with high reliability. Such a test must use variables that are easy to collect with high practical applicability in the daily routine of coaches. Objective: The objective of the present study was to develop a mathematical model capable of predicting 2000 m rowing performance from a maximum effort 100 m indoor rowing ergometer (IRE) test in young rowers. Methods: The sample consisted of 12 male rowing athletes in the junior category (15.9 ± 1.0 years). A 100 m time trial was performed on the IRE, followed by a 2000 m time trial 24-h later. Results: The 2000 m mathematical model to predict performance in minutes based on the maximum 100 m test demonstrated a high correlation (r = 0.734; p = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; p = 0.001) and was within usable agreement limits (Bland -Altman Agreement: −0.60 to 0.60; 95% CI [−0.65; 0.67]). Conclusion: The mathematical model developed to predict 2000 m performance is effective and has a statistically significant reliability index while being easy to implement with low cost.

Thematic Analysis Using A Machine Learning Approach on User Reviews for Depression and Anxiety Chatbot Applications (Preprint)

2021 ◽  
Author(s):  
Arfan Ahmed ◽  
Sarah Aziz ◽  
Uzair Shah ◽  
Asmaa Hassan ◽  
Alaa Abd-Alrazaq ◽  
...  
Keyword(s):  
Thematic Analysis ◽  
User Interfaces ◽  
Latent Dirichlet Allocation ◽  
Low Cost ◽  
Methodological Approach ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Machine Learning Approach ◽  
Google Play ◽  
Privacy Issues

BACKGROUND Anxiety and depression are amongst the most commonly prevalent mental health disorders (CMDs) worldwide. Chatbot apps can play an important role in relieving anxiety and depression. Users’ reviews of chatbot apps are considered an important source of data to explore users’ opinion and satisfaction of chatbot apps. OBJECTIVE This study aims to explore users’ opinions, satisfaction, and attitudes about anxiety and depression chatbot apps through conducting a thematic analysis of users’ reviews of 11 anxiety and depression chatbot apps collected from Google play and Apple store. In addition, we propose a workflow to provide a methodological approach for future analysis of review comments. METHODS We analyzed 205,881 user review comments from chatbots dedicated for users with anxiety and depression symptoms. Using scrapper tools (Google Play Scraper and App Store Scraper python libraries), we extracted text and metadata. The reviews were divided into positive and negative meta themes, based on users rating per review. We analysed the reviews using word frequencies of bigrams (words in pair).A topic modelling technique, Latent Dirichlet Allocation (LDA) was applied to identify topics in the reviews, and analysed for detecting themes and subthemes. RESULTS A thematic analysis was conducted on 5 topics for each sentimental set. Reviews were categorized as either positive or negative. For positive reviews, the main themes were confidence and affirmation building, adequate analysis, and consultation, caring as a friend, and easy to use. Whereas for negative reviews results revealed the following themes: usability issues, update Issues, Privacy and Non-creative conversation. CONCLUSIONS Chatbots appear to have the ability to provide users suffering from anxiety and depression feel confident and give them support via a tool that is easy to use, low cost, containing adequate symptom detection whilst providing feeling of having a close friend to converse with. Users tend to dislike technical and privacy issues. Users expect engaging and creative conversations via appealing user interfaces.

scholarly journals ClothSurface: Exploring a Low-Cost Prototyping Tool to Support Ideation for Shape Displays

2019 ◽  
Vol 3 (3) ◽  
pp. 64
Author(s):  
Jeffrey C. F. Ho
Keyword(s):  
User Interfaces ◽  
Design Space ◽  
Low Cost ◽  
Limited Resources ◽  
Technical Knowledge ◽  
Relevant Research ◽  
Physical Form ◽  
Sophisticated Equipment ◽  
Design Students ◽  
Tools And Methods

A shape-changing user interface is a type of interface that interacts with users by changing its physical form. Although researchers have been extensively studying shape-changing user interfaces, relevant research on its various design aspects—including tools and methods—remains limited. Prototyping shape-changing interfaces often requires sophisticated equipment and knowledge, which makes this sphere of design unwelcoming for designers with limited resources and technical knowledge (e.g., design students). In this study, we propose ClothSurface—a simple and low-cost prototyping tool to design for shape displays—and explore its use through a series of design sessions. The results reveal that ClothSurface can allow inexperienced designers to illustrate their ideas and to explore the design space of shape displays.

Voiceover Internet Protocal (VoIP)

2002 ◽  
pp. 144-174
Author(s):  
Bhumip Khasnabish
Keyword(s):  
Real Time ◽  
User Interfaces ◽  
Low Cost ◽  
Digital Signal ◽  
Packet Networks ◽  
Enterprise Networks ◽  
Speech Compression ◽  
Voice Transmission ◽  
Voice Communications ◽  
Packet Voice

Traditionally, real-time voice communications–both within and outside of corporations (enterprises)—are achieved using public domain circuit-switched telephone networks (PSTNs). These networks use technologies that have been maturing over the last 150 years. However, the recent advances in and proliferation of packet-based switching technologies, World Wide Web (WWW) and PC-based user interfaces, and innovative digital signal processing (DSP) techniques are making real-time voice transmission using packet switching–particularly IP-based techniques—more feasible, at least within the logical boundaries of enterprise networks. Although the IP-based Internet is only about 25 years old, its compatibility with Ethernet2 , and its flexibility, openness and low-cost availability have enabled it to gain more than 260 million users worldwide3. In addition, proliferation of the WWW, multimedia PCs, and innovations in DSP during the last five years has made voice transmission over packet networks, particularly over IP, very attractive economically. In this chapter, we briefly review the technologies and standards—as recommended by IETF and ITU-T—that are making voice over IP (VoIP) a reality in both public and enterprise networks. Our focus is on low bit rate speech compression and silence suppression, voice packetization and encapsulation, sources of packet-voice impairments and methods to mitigate them, and packet-voice transmission engineering.

scholarly journals Multimodal Hand Gesture Classification for the Human–Car Interaction

Informatics ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 31
Author(s):  
Andrea D’Eusanio ◽  
Alessandro Simoni ◽  
Stefano Pini ◽  
Guido Borghi ◽  
Roberto Vezzani ◽  
...  
Keyword(s):  
User Interfaces ◽  
Low Cost ◽  
Point Of View ◽  
Infrared Images ◽  
Infrared Sensors ◽  
High Quality ◽  
Natural User Interfaces ◽  
Time Performance ◽  
Dynamic Gestures ◽  
Public Dataset

The recent spread of low-cost and high-quality RGB-D and infrared sensors has supported the development of Natural User Interfaces (NUIs) in which the interaction is carried without the use of physical devices such as keyboards and mouse. In this paper, we propose a NUI based on dynamic hand gestures, acquired with RGB, depth and infrared sensors. The system is developed for the challenging automotive context, aiming at reducing the driver’s distraction during the driving activity. Specifically, the proposed framework is based on a multimodal combination of Convolutional Neural Networks whose input is represented by depth and infrared images, achieving a good level of light invariance, a key element in vision-based in-car systems. We test our system on a recent multimodal dataset collected in a realistic automotive setting, placing the sensors in an innovative point of view, i.e., in the tunnel console looking upwards. The dataset consists of a great amount of labelled frames containing 12 dynamic gestures performed by multiple subjects, making it suitable for deep learning-based approaches. In addition, we test the system on a different well-known public dataset, created for the interaction between the driver and the car. Experimental results on both datasets reveal the efficacy and the real-time performance of the proposed method.

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