Daily Life Objects Research Articles

A Fabric-Based Wearable Soft Robotic Limb

In this paper, a fabric-based wearable soft robotic limb (SRL) is presented. It can be worn on the user’s body to potentially assist with activities of daily living. This SRL can perform a bidirectional bending motion by inflating the pneumatic bending actuators. The end effector, which is a fabric-based soft gripper, can pick up small objects in daily life. The SRL is pneumatically actuated, and its bending motion and payload capability were characterized. All the actuation and control systems are integrated in a portable control box. The SRL can be voice-controlled using an Android-based voice recognition mobile application. We expect the SRL to be a promising wearable tool that can assist the user in managing simple activities in daily living, while allowing the user’s natural human hands to work on more complex tasks.

A Deep Learning Framework for Tactile Recognition of Known as Well as Novel Objects

This paper addresses the recognition of daily-life objects by a robot equipped with tactile sensors. The main contribution is a deep learning framework that can recognize objects already touched as well as objects never touched before. To this end, we train a deconvolutional neural network that generates synthetic tactile data for novel classes. Then, we use both these synthetic data and the real data collected by touching objects, to train a convolutional neural network to recognize both known (trained) objects and novel objects. Furthermore, we propose a method for integrating newly encountered data into novel classes. Finally, we evaluate the framework using the largest available dataset of tactile objects descriptions.

Book Review: Artifacts from Ancient Egypt

Artifacts from Ancient Egypt, a new title in the Greenwood Daily Life through Artifacts series, utilizes objects of daily life from ancient Egypt to illuminate the ways in which material culture reflects the lifeways of the people who produce it. In keeping with the general outline of the series, author Barbara Mendoza, a Berkeley-trained specialist in ancient Egyptian and eastern Mediterranean art and archaeology, has selected 45 pieces that reflect the customs, beliefs, and practices of ancient Egyptians from the earliest Predynastic era (ca. 5000 BCE) through the late Graeco-Roman period (ca. 300 CE). The material culture of ancient Egypt is particularly adapted to this kind of treatment, given its deeply ornamented and symbolic nature, and is an excellent beginner’s guide to understanding and interpreting how material culture reflects the society that created it.

Stability of the Manual Ability Classification System in young children with cerebral palsy.

To examine the stability over time of the Manual Ability Classification System (MACS) levels in children with cerebral palsy (CP) aged 18 to 60months. This was a prospective longitudinal population-based study of 252 Australian children (160 males [63%] 92 females [37%]; mean age [SD] 41.7mo [14], range 17.2mo-69.2mo) with CP. Children were classified at 18months (n=70), 24 months (n=131), 30months (n=173), 36months (n=209), 48months (n=226), and 60months (n=221) of age. Stability of the MACS was examined using the proportion of specific positive agreement and transition proportions, which are measures of agreement. There were 1030 unique observations, with each of the 252 participants seen between two and six occasions (median=4). Average specific positive agreement over the study period was 76% for MACS level I, 67% for level II, 50% for level III, 51% for level IV, and 83% for level V. MACS levels I and V have the highest degree of stability, while levels III and IV have the lowest. We show how this may be explained by the proportion of children in each MACS level. Using measures of agreement rather than measures of reliability provides accurate information when measuring stability over time of an ordinal classification system. The relative stability of MACS levels can be explained by the proportion of children in each level. Children classified in Manual Ability Classification System (MACS) levels III and IV change levels at next assessment about 50% of the time. Children should be assessed with the MACS regularly, particularly those in levels III and IV. Stability within ordinal classification level categories can be predicted using a measurement error model. Transition proportions or specific agreement is recommended for reporting stability of ordinal classification systems.

Object Recognition-Based Second Language Learning Educational Robot System for Chinese Preschool Children

Research in psychology, pedagogy, and physiology has shown that learning a second language will be a great benefit to preschool children. Compared with adults, children have more advantages in learning, such as better pronunciation and intonation. However, because of children’s inattention, the effects of the second language education in many preschools are not ideal in China. To make children learn the second language effectively, it should be integrated into their daily lives and in line with their interests. In this paper, an educational robot system with object recognition technology is introduced, which aims to provide innovative second language learning services for preschool children in China. The proposed system combines object recognition and projection with English teaching and makes objects in daily life more interesting with projected animation to attract children’s attention. On the projection screen, children can interact with a robot by touch or movement and can easily trigger more interactive effects. To evaluate the effectiveness of the proposed system, we conducted an experiment, and the results showed that the system can improve the language learning efficiency for the Chinese preschool children by interacting with objects under proper guidance.

Composed continuum mechanism for compliant mechanical postural synergy: An anthropomorphic hand design example

Continuum mechanisms have recently been used in various manipulator designs, often for medical applications. Instead of forming manipulators, a multi-backbone continuum mechanism, in a composed configuration, can be alternatively used as a transmission unit to generate an arbitrary number of translating outputs that are linearly combined from two independent inputs. This CCM (Composed Continuum Mechanism), applicable in other design scenarios, is applied as mechanical postural synergies of an anthropomorphic robotic hand. In this hand, three actuators actuate the CCM in its coordinated motion mode to drive the eleven hand joints according to two synergy inputs to form synergy-based hand poses in a pre-grasp phase. Then, the CCM closes the fingers in its synchronized motion mode. Joint-level compliance was selectively introduced based on a statics analysis to help achieve the stable grasping and pinching of many daily life objects. The compliance calculation, postural synergy synthesis, system descriptions and experimental characterizations of this hand with Compliant Mechanical Postural Synergy (the CoMPS hand) are expounded. The efficacy of the hand, demonstrated by the experimental results, can inspire its use as a prosthesis, as a training device for synergy control, or in a humanoid robot, showing the potentials of the proposed CCM.

Toward a Radical Spatiality: Dissident Architectural Practices in Contemporary Occupations

The Arab Spring, the Occupy Movement, los Indignados, Gezi Park, the Umbrella Movement, among others, are some of the most representative contemporary social movements that conducted important changes and open debate in fields like politics and economics. However, they are usually not related directly to the transformation of the architectural urban landscape in current cities. During the production of these occupations, dissident practices take place and alter established conditions of urban infrastructures that react as obsolete elements, while collective participation transforms spatial perception, the use and aesthetic of public spaces. This article focuses on the Umbrella Movement, the 2014 Hong Kong occupation, and how protestors modify, on one hand, the architectural urban landscape of the city and generate, on the other, design techniques through the use of quotidian and daily-life objects in dissident means. Pragmatism and immediacy are the main conditions of these occupations for creating spaces that occupiers need, and also for making visible a situation that is implanted deeply in the city: the privatization of public spaces.

A Soft Anthropomorphic & Tactile Fingertip for LowCost Prosthetic & Robotic Applications

Nowadays, prosthetic and robotic hands have reached an amazing dexterity and grasping capability. However, to enhance a proper tactile 'experience', dexterity should be supported by proper sensation of daily life objects which such devices are supposed to manipulate. Here we propose a low cost anthropomorphic solution for the integration of a force sensor within a biologically inspired fingertip. A commercial force resistive sensor is embedded within a human-like soft fingertip made of silicone: the housing of the sensor - a 3D printed bay embedded within the fingertip - is analyzed via Finite Element Analysis and optimized to enhance sensor response. Experiments validate the design and proposed solution.

Daily-Life Objects of the "Others" in the New Kingdom Military Sources

Daily-Life Objects of the "Others" in the New Kingdom Military Sources

Haptic Zero-Shot Learning: Recognition of objects never touched before

Object recognition is essential to enable robots to interact with their environment. Robots should be capable, on one hand of recognizing previously experienced objects, and on the other, of using the experienced objects for learning novel objects, i.e. objects for which training data are not available. Recognition of such novel objects can be achieved with Zero-Shot Learning (ZSL). In this work, we show the potential of ZSL for haptic recognition. First, we design a zero-shot haptic recognition algorithm and, using the extensive PHAC-2 database (Chu et al., 2015) as well as our own, we adapt, analyze and optimize the ZSL for the challenges and constraints characteristic of haptic recognition. Finally, we apply the optimized algorithm for haptic recognition of daily-life objects using an anthropomorphic robot hand. Our algorithm enables the robot to recognize eight of the ten novel objects handed to it.

Facial recognition enabled smart door unlock system

To verify that our daily life is going in a secure way. Lot of research programmers are going on in this entire society. The turning point comes through the internet of things, industry has been emerged with the lots of elements provided from IOT. We can able to connect our daily life things or objects with this had successfully evolved lots of things. This Facial recognition door unlock system is a process is which will detect the face and identifies the among people. People are having different types of face cut, in that particularly there are many unique faces which are different from each other which inspired us, from that concept this process has been established. Our main aim to create the smart door system to a house, that will secure the house and all your personal things at your home. In this concept of our system we have been used alive web camera in the front side of the door, along with the display monitor. this web camera shows the owner/particular viewer the whom the house is his control, this shows the person who stood front of the door, the system is setup the voice output is being processed by the processor that which is used to show the answers/instructions as the output on the screen. We are using a stepper motor that which is used to lock/open then the by sliding method, so that a normal person stand in front of the door and access it. This process is done through this Microsoft face API application. The display is being operated on a Microsoft Visual Studio application.

Symbolic creativity in play activity: a critique on playthings from daily life objects to toys

ABSTRACTPlay is an essential activity for children’s development. Children play with daily life objects as well as toys. Daily life with its various objects and practices provides a real freedom for discovery and self-realization. Children celebrate this value through symbolic creativity that flourishes in various play practices, such as symbolic object use, storytelling, animation in special modes of virtualization and actualization, construction with everyday mathematics and puzzling for order in chaos. The study examines a girl’s play activities with daily life things and waste materials between 6 and 8 years of ages. Finally, the study emphasizes that: (1) symbolic creativity is necessary for children’s self-realization and accordingly for their well-being and (2) toys must be selected carefully to stimulate children’s ability to imagine, create and produce.

Daily life objects of bone and antler in the towns of Medieval Moldavia. Case study: Old Orhei (Republic of Moldova)

The present paper comprises research results regarding the usage of bone and antler artefacts by the inhabitants of Medieval Moldavia, taking as a case study an assemblage discovered in the medieval site of Old Orhei (Republic of Moldova). Numerous artefacts in different stages of manufacturing were identified, as well as artefacts with different wear levels. Our study emphasizes an important diversity in the typology of artefacts and in the anatomical and taxonomical selection of raw materials. The current paper seeks to continue the analysis of these types of objects that began a decade ago, when a part of bone and antler artefacts recovered from the archaeological excavations conducted in Old Orhei during the years 1947–2001 was investigated. The rich collection of bone and antler objects gained in the last six decades, illustrating the different segments of daily life, represents a valuable testimony of the urban material civilization during this historical period.

Fabricable tile decors

Recent advances in 3D printing have made it easier to manufacture customized objects by ordinary users in an affordable manner, and therefore spurred high demand for more accessible methods for designing and fabricating 3D objects of various shapes and functionalities. In this paper we present a novel approach to model and fabricate surface-like objects composed of connected tiles, which can be used as objects in daily life, such as ornaments, covers, shades or handbags.

Stimulant Overprescribing, Abuse, and Diversion

Stimulant Overprescribing, Abuse, and Diversion

Conformal Electronics Wrapped Around Daily Life Objects Using an Original Method: Water Transfer Printing.

The water transfer printing method is used to transfer patterned films on random three-dimensional objects. This industrially viable technology has been demonstrated to intimately wrap metallic and polymeric films around different materials. This method avoids the use of rigid substrate during the transfer step. Patterns can be transferred to objects without folds even when holed, addressing a challenging issue in the field of conformal electronics. This technique allows high film bending properties to be reached. This promising method enables us to integrate large-area films onto daily life objects. A bent capacitive touchpad is fabricated showing the potential applications of this technology.

Money, Food, and Daily Life Objects Are Similarly Shared in the Dictator Game. A Study among Poles and Tsimane'.

The dictator game (DG) is one of the most popular methods for measuring sharing behaviors. However, the matter of goods used in the game has rarely been examined and discussed. We conducted a study in which all participants played standard version of DG in one of the three versions – “money,” “food,” or “daily life objects” sharing. Further, we wanted to expand the generalizability of our findings by investigating whether patterns in sharing various goods are independent of culture and the level of market integration. Thus, the study was conducted among people who function daily under the conditions of low market integration (109 Tsimane’ – forager-horticulturists from Bolivian Amazon) and in a society highly integrated with the market-based economy (85 Polish people). We observed that among both Polish and Tsimane’ people the participants were equally likely to share money, food and small, daily life objects with an unknown partner, which implies that generosity might not be related with the type of possessed resources. However, regardless of the kind of goods given, Tsimane’ people were less eager to share with anonymous others than Polish people. We present several implications of our findings for studies on generosity and altruism.

A STUDY ON APPLICATION OF MACHINE LEARNING AND COMPUTER VISION FOR RETAIL PROJECTS

The motivation for developing computer vision is the human vision system which is the richest sense that we have. To us, vision seems an easy task ofjust seeing objects in daily life and identifying them, but in reality, our eyes along with the brain are processing information of around 50 images everysecond with millions of pixels in each image. Most of these images obtained are currently just looked at by people. The challenging task is to processimages from all these cameras and allow automation of tasks never before considered. Neural networks help us in making cameras intelligent enoughto understand the images it captures. Convolutional neural networks (CNN) are trained to give image classification results of good accuracy, with thechallenge to improve utilization of computing resources. Google Net is in its essence a deep CNN that uses inception architecture to attain leadingedge results for classification and detection problems. In this paper, a study was made on applications of computer vision techniques in retail andcustomer strategic projects. Further, it was analyzed that if cameras trained with CNN can work well enough to be deployed in retail market scenariosto automate sales and stock supervision.

一般物体検出YOLOを用いた物体の種類および配置パターンの識別

This paper presents the recognition of object categories and object arrangements using You Only Look Once framework. Daily life objects are usually surrounded by other objects. The nearby objects around a target are obstacles to object picking. Therefore, different grasp strategies are needed depending on the object arrangements as well as the object categories. The recognition method of two arrangement categories of books (horizontal stacking and vertical stacking) is discussed in this paper. The recognition results show that the method is useful for recognizing object categories and object arrangements.

Task-Oriented Training with Computer Games for People with Rheumatoid Arthritis or Hand Osteoarthritis: A Feasibility Randomized Controlled Trial.

To examine the feasibility of a clinical trial on a novel, home-based task-oriented training with conventional hand exercises in people with rheumatoid arthritis or hand osteoarthritis. To explore the experiences of participants who completed their respective home exercise programmes. Thirty volunteer participants aged between 30 and 60 years and diagnosed with rheumatoid arthritis or hand osteoarthritis were proposed for a single-center, assessor-blinded, randomized controlled trial ( ClinicalTrials.gov : NCT01635582). Participants received task-oriented training with interactive computer games and objects of daily life or finger mobility and strengthening exercises. Both programmes were home based and were done four sessions per week with 20 minutes each session for 6 weeks. Major feasibility outcomes were number of volunteers screened, randomized, and retained; completion of blinded assessments, exercise training, and home exercise sessions; equipment and data management; and clinical outcomes of hand function. Reaching the recruitment target in 18 months and achieving exercise compliance >80% were set as success criteria. Concurrent with the trial, focus group interviews explored experiences of those participants who completed their respective programmes. After trial initiation, revisions in inclusion criteria were required to promote recruitment. A total of 17 participants were randomized and 15 were retained. Completion of assessments, exercise training, and home exercise sessions; equipment and data collection and management demonstrated excellent feasibility. Both groups improved in hand function outcomes and exercise compliance was above 85%. Participants perceived both programmes as appropriate and acceptable. Participants who completed task-oriented training also agreed that playing different computer games was enjoyable, engaging, and motivating. Findings demonstrate initial evidence on recruitment, feasibility of trial procedures, and acceptability of task-oriented training in people with rheumatoid arthritis or hand osteoarthritis. Since the pilot trial was unsuccessful in participant recruitment, a large trial will not follow.