Design and implementation of a user-support system for finding the other person talking on smart phones

2013 ◽  
Vol 18 (3-4) ◽  
pp. 228-232
Author(s):  
Hiroyuki Nishiyama ◽  
Fumio Mizoguchi
Author(s):  
Hiroyuki Nishiyama ◽  
Fumio Mizoguchi

In this study, the authors design a user-support system employing a smart phone for skin progress analysis. The authors’ proposed system seeks to provide user support for a skin diagnostic service employing a smart phone's camera, with the user's photograph of a skin image and continuous diagnosis of the photographed area. The cognitive user-support module recognizes the processing and the user operation of the smart phone, and transmits advice on the operation to the user in real time, via voice or text messages. In addition, the cognitive user-support module can recommend contents suitable for the user, based on the user's past situation. In the skin diagnostic service, the authors’ system provides the user with auto photography when the picture is taken, by recognizing the user's situation and guiding the user via voice or text message. The authors’ system can recommend the skin area that was used for the last diagnostic service in order to perform continuous skin diagnosis. Using the authors’ system, the user can easily take a suitable skin picture and observe the skin care progress, so that in an esthetic room, the user and beauty therapist can verify the esthetic effect by viewing the pictures taken before and after treatment.


Author(s):  
Shriya A. Hande ◽  
Nitin R. Chopde

<p>In today’s world, in almost all sectors, most of the work is done by robots or robotic arm having different number of degree of freedoms (DOF’s) as per the requirement. This project deals with the Design and Implementation of a “Wireless Gesture Controlled Robotic Arm with Vision”. The system design is divided into 3 parts namely: Accelerometer Part, Robotic Arm and Platform. It is fundamentally an Accelerometer based framework which controls a Robotic Arm remotely utilizing a, little and minimal effort, 3-pivot (DOF's) accelerometer by means of RF signals. The Robotic Arm is mounted over a versatile stage which is likewise controlled remotely by another accelerometer. One accelerometer is mounted/joined on the human hand, catching its conduct (motions and stances) and hence the mechanical arm moves in like manner and the other accelerometer is mounted on any of the leg of the client/administrator, catching its motions and stances and in this way the stage moves as needs be. In a nutshell, the robotic arm and platform is synchronised with the gestures and postures of the hand and leg of the user / operator, respectively. The different motions performed by robotic arm are: PICK and PLACE / DROP, RAISING and LOWERING the objects. Also, the motions performed by the platform are: FORWARD, BACKWARD, RIGHT and LEFT.</p>


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2858-2863

The main goal of this article is to implement an effective Non-Blocking Benes switching Network. Benes Switching Network is designed with the uncomplicated switch modules & it’s have so many advantages, small latency, less traffic and it’s required number of switch modules. Clos and Benes networks are play a key role in the class of multistage interconnection network because of their extensibility and mortality. Benes network provides a low latency when compare with the other networks. 8x8 Benes non blocking switching network is designed and synthesized with the using of Xilinx tool 12.1.


Author(s):  
Iztok Fister Jr. ◽  
Iztok Fister

For many people, sport is one of the stress-relieving activities. People being involved with sport wish to achieve attractive shape, healthy lifestyle, lose weight, and so on. However, there are also people who deal with sport because of competition goals. In order to fulfill their competition goals, they need to train properly. Even for professionals, it is very hard to perform a serious training. On the other hand, recent expansion of smart sport watches and even smart phones allow athletes to train smarter. During the months and years, they produce dozens of activity files. These files offer thousands of opportunities for data mining approaches, where athletes gained a deep insight into their training data. Data mining approaches are able to extract habits of athletes, help to prevent over-training syndrome and injuries, clustering similar activities together, and much more. In this chapter, the authors show opportunities for data mining, enumerate recent applications, and outline future potential for research and applications in the real world.


2018 ◽  
pp. 194-213
Author(s):  
Sonja Leskinen

The goal of this paper is to introduce and understand the equine veterinarians' needs in their daily routines and develop a web-based support system to promote their work. An equine veterinarian works in both clinic and stable environments, which requires resilience and smart functionality from the support system's interfaces. Especially when horse treatment is in the stable environment, a mobile interface is required. The development of the system must also take into account the needs of the other stakeholders around horses. This paper introduces the requirements to develop a mobile interface for the web-based support system, m-equine. The trial of m-equine will start with an influenza vaccination protocol that is used by veterinarians, horse owners and riders as well as competition organizers. In conclusion the future developments and added values of the system are introduced.


2021 ◽  
pp. 506-514
Author(s):  
K. Höger ◽  
L. Schäfer ◽  
L. Schild ◽  
G. Lanza

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