scholarly journals Active Volume Control in Smart Phones Based on User Activity and Ambient Noise

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4117
Author(s):  
V. D. Ambeth Kumar ◽  
S. Malathi ◽  
Abhishek Kumar ◽  
Prakash M ◽  
Kalyana C. Veluvolu

To communicate efficiently with a prospective user, auditory interfaces are employed in mobile communication devices. Diverse sounds in different volumes are used to alert the user in various devices such as mobile phones, modern laptops and domestic appliances. These alert noises behave erroneously in dynamic noise environments, leading to major annoyances to the user. In noisy environments, as sounds can be played quietly, this leads to the improper masked rendering of the necessary information. To overcome these issues, a multi-model sensing technique is developed as a smartphone application to achieve automatic volume control in a smart phone. Based on the ambient environment, the volume is automatically controlled such that it is maintained at an appropriate level for the user. By identifying the average noise level of the ambient environment from dynamic microphone and together with the activity recognition data obtained from the inertial sensors, the automatic volume control is achieved. Experiments are conducted with five different mobile devices at various noise-level environments and different user activity states. Results demonstrate the effectiveness of the proposed application for active volume control in dynamic environments.

2021 ◽  
Vol 13 (1) ◽  
pp. 433
Author(s):  
Tamer Khatib ◽  
Haneen Alwaneh ◽  
Wajdi Mabroukeh ◽  
Yassmin Abu-Ghalion ◽  
Fatima Abu-Gadi ◽  
...  

This paper presents a smartphone application game that aims to increase the awareness of preschoolers on renewable energy. The age of the selected preschoolers is in the range of 4-6 years. The game is called DAYSAM, and it aims to increase awareness regarding photovoltaic arrays, wind turbines, mini-hydropower stations, energy efficiency, and risks that polar bears are facing. The game provides two superior features compared to other available games in Arabic language, targeting the same age group. Preschoolers from An-Najah Child Institute are selected to play this game to investigate the impact of this game. The preschoolers’ awareness is tested before and after playing the game using coloring sheets in an unsupervised coloring process. The results show that the proposed game has increased preschooler’s awareness of renewable energy. Before playing the game, none of the preschoolers recognized images like the photovoltaic array or the wind turbine. After playing the game the preschoolers recognized these devices in different situations and shapes. This indicates that such a game can be used as a fun and educational tool in nurseries that have Arabic communication medium to increase awareness of renewable energy.


Author(s):  
Xian Wang ◽  
Paula Tarrío ◽  
Ana María Bernardos ◽  
Eduardo Metola ◽  
José Ramón Casar

Many mobile devices embed nowadays inertial sensors. This enables new forms of human-computer interaction through the use of gestures (movements performed with the mobile device) as a way of communication. This paper presents an accelerometer-based gesture recognition system for mobile devices which is able to recognize a collection of 10 different hand gestures. The system was conceived to be light and to operate in a user-independent manner in real time. The recognition system was implemented in a smart phone and evaluated through a collection of user tests, which showed a recognition accuracy similar to other state-of-the art techniques and a lower computational complexity. The system was also used to build a human-robot interface that enables controlling a wheeled robot with the gestures made with the mobile phone


2014 ◽  
Vol 573 ◽  
pp. 394-399
Author(s):  
R. Manikandan ◽  
P.K. Jawahar

In recent years, the demand for compact handheld communication devices has grown significantly. For device miniaturization antenna size is to be reduced. Micro strip and PIFA have been used for past few years. Since it has low profile geometry it can be embedded into devices. This project is to develop a Quad band small size Planar Inverted F Antenna (PIFA) for the operation in modern multi-band mobile transceiver system. Various techniques for analysis and design of such antenna investigated in this project. The design curve is used to design Quad band Planar inverted F Antenna to operate at the 900, 1800, 2100 and 3500 MHz bands. Since High Frequency Structure Simulator (HFSS) simulation result agrees well with the theoretical predictions, this project also designed through HFSS. An antenna designed at the four desired band and optimized to adjust the four resonance frequencies using HFSS simulation. The substrate FR4 (εr=4.4 & tanδ = 0.02) are in good agreement with the simulation result. Further bandwidth enhancements by making defects in the substrate at particular area were need of much reflection.


Micromachines ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 885
Author(s):  
Shuo Zhang ◽  
Ruiqing Zhang ◽  
Shijie Chang ◽  
Chengyu Liu ◽  
Xianzheng Sha

Along with the great performance in diagnosing cardiovascular diseases, current stethoscopes perform unsatisfactorily in controlling undesired noise caused by the surrounding environment and detector operation. In this case, a low-noise-level heart sound system was designed to inhibit noise by a novel thorax-integration head with a flexible electric film. A hardware filter bank and wavelet-based algorithm were employed to enhance the recorded heart sounds from the system. In the experiments, we used the new system and the 3M™ Littmann® Model 3200 Electronic Stethoscope separately to record heart sounds in different noisy environments. The results illustrated that the average estimated noise ratio represented 21.26% and the lowest represented only 12.47% compared to the 3M stethoscope, demonstrating the better performance in denoising ability of this system than state-of-the-art equipment. Furthermore, based on the heart sounds recorded with this system, some diagnosis results were achieved from an expert and compared to echocardiography reports. The diagnoses were correct except for two uncertain items, which greatly confirmed the fact that this system could reserve complete pathological information in the end.


2012 ◽  
Vol 239-240 ◽  
pp. 409-414
Author(s):  
Shi Lin Liu ◽  
Zheng Pei

An improved project based on decision trees in noisy environments is proposed for robust endpoints detection. Firstly, the noise level of the environment is estimated by wavelet decomposition, and then whether the denoising process is done according to the noise level is determined. Next, the thresholds are obtained by decision trees for the signal. Finally, endpoints are detected by the double thresholds on different importance of the energy and zero-crossing rate (ZCR) in the corresponding situation. The simulation results indicate that the proposed method based on noise estimation can obtain the same accurate data by computing less than the one with decision trees.


2016 ◽  
Vol 55 (01) ◽  
pp. 65-69 ◽  
Author(s):  
H. Ito ◽  
M. Yamada ◽  
H. Yoshitomi ◽  
M. Furu ◽  
M. Ito ◽  
...  

SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Methodologies, Models and Algorithms for Patients Rehabilitation”. Background: Rheumatoid arthritis (RA) is a progressive inflammatory disease that causes damage to multiple joints, decline in functional status, and premature mortality. Thus, effective and frequent objective assessments are necessary. Then, we developed a self-assessment system for RA patients based on a smartphone application. Objective: The purpose of this study was to investigate the feasibility of a self-assessment system for RA patients using a smart-phone application. Methods: We measured daily disease activity in nine RA patients who used the smart-phone application for a period of three months. A disease activity score (DAS28) predictive model was used and feedback comments relating to disease activity were shown to patients via the smartphone application each day. To assess participants’ RA disease activity, the DAS28 based on the C-reactive protein level was measured by a rheumatologist during monthly clinical visits. Results: The disease activity measured by the application correlated well with the patients’ actual disease activity during the 3-month period, as assessed by clinical examination. Furthermore, most participants gave favourable responses to a questionnaire administered at the end of the 3-month period containing questions relating to the ease of use and usefulness of the system. Conclusions: The results of this feasibility study indicated that the DAS28 predictive model can longitudinally predict DAS28 and may be an acceptable and useful tool for assessment of RA disease activity for both patients and healthcare providers.


2021 ◽  
Vol 2115 (1) ◽  
pp. 012012
Author(s):  
L Abhishek ◽  
J Kathirvelan

Abstract The children demise inside the borewell is expanded in nowadays, with uncovered borewell they fallen without knowing and lost their lives due to asphyxiant inside, likewise without oxygen, food and so forth The harmful gases like carbon monoxide, Methane, LPG, hydrogen sulphide inside the bore-well it will influence the children breathing and furthermore this may prompt unconsciousness, and without oxygen it might influence the brain functioning of child and child may die and furthermore explicit distance of the child at what distance child stuck isn’t know. To overcome these, we need to detect the various gases with different multiple gas sensors additionally to get the temperature and humidity condition. Alongside this ultrasonic sensor is utilized to get the distance of child at what distance child got stuck. We have utilized two Arduino Uno microcontrollers which is at the transmitter side and other at Receiver side also utilized two ZigBee’s as the communication devices. With the help of IoT involved in the proposed system. Every one of these information are sent to the cloud and we can monitor the data in the thing speak dashboard through PC or from our smart phone through Android App Usage and also, through LCD at Receiver end. We can utilize this proposed framework inside the borewell for up to 80-meter depth. Thus, we came up with this Design and Development of IoT enabled Gas sensing system for remote monitoring of Air quality in borewell Rescue operations. Based on proposed system results of real time data the Rescue specialists can make a further move by providing of oxygen, food, and so forth Save their lives.


2016 ◽  
Vol 2016 (DPC) ◽  
pp. 000397-000420
Author(s):  
Ted Tessier

WLCSP has been widely deployed in portable computing and communication devices for efficient die level packaging of integrated semiconductor and integrated passive applications. More recently with the proliferation of smart phone capabilities and applications as well as the emergence of Internet of Things and Wearable Electronics, MEMS and sensor devices in minimized package formats have become increasingly pervasive. These include image sensors, light sensors, finger print sensors as well as accelerometer, gyroscope and other MEMS motion sensing devices. It is predicted that the widespread adoption of WLCSP packaging for sensing applications will accelerate the proliferation of the incorporation of multiple sensor technologies within future communication devices. A number of these MEMS/Sensor applications have been able to leverage the existing WLCSP technology infrastructure and has led to opportunities to packaging and cost-effective standardization and miniaturization. On the other hand, some significant new changes to WLCSP process flows have also emerged that have had to be addressed. This paper will provide an overview of MEMS and Sensor applications that are currently or will use 2D, 2.5D or 3D wafer level packaging formats. Process enhancements including the ability to process thinner substrates with the adoption of temporary carrier technologies will also be highlighted.


Author(s):  
Uwe Reischl ◽  
Olga Salinas ◽  
Ron Oberleitner ◽  
Budimir Mijovic

Smartphone technologies have transformed the way people interact with each other around the world. The technology offers new approaches and opportunities for collecting, storing and sharing information. A novel smartphone technology application (app) originally developed for Patient Behavior Health applications was tested to determine if the proficiency of nursing students demonstrating a standardized seasonal influenza immunization protocol could be accurately recorded and subsequently evaluated remotely. The student performance was rated by four university instructors independently of each other. Each instructor used a standardized competency check-list to score these students. The study showed that by using the new smart-phone application, the remote evaluation of clinical nursing student proficiencies could be accomplished quickly and easily. However, the inter-rater agreement indicated that training of the evaluators in the use of the new app prior to scoring student performances will be needed. While the new smartphone application proved to be effective in documenting student performance, the technology promises to have practical uses in additional fields such as the secure monitoring of specialized training for paramedics, firefighters, police, skilled tradesmen, aircraft crews, etc.


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