scholarly journals Design and Implementation of a Robotic Arm Assistant with Voice Interaction Using Machine Vision

Automation ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 238-251
Author(s):  
George Nantzios ◽  
Nikolaos Baras ◽  
Minas Dasygenis

It is evident that the technological growth of the last few decades has signaled the development of several application domains. One application domain that has expanded massively in recent years is robotics. The usage and spread of robotic systems in commercial and non-commercial environments resulted in increased productivity, efficiency, and higher quality of life. Many researchers have developed systems that improve many aspects of people’s lives, based on robotics. Most of the engineers use high-cost robotic arms, which are usually out of the reach of typical consumers. We fill this gap by presenting a low-cost and high-accuracy project to be used as a robotic assistant for every consumer. Our project aims to further improve people’s quality of life, and more specifically people with physical and mobility impairments. The robotic system is based on the Niryo-One robotic arm, equipped with a USB (Universal Serial Bus) HD (High Definition) camera on the end-effector. To achieve high accuracy, we modified the YOLO algorithm by adding novel features and additional computations to be used in the kinematic model. We evaluated the proposed system by conducting experiments using PhD students of our laboratory and demonstrated its effectiveness. The experimental results indicate that the robotic arm can detect and deliver the requested object in a timely manner with a 96.66% accuracy.

2000 ◽  
Vol 6 (1_suppl) ◽  
pp. 80-83 ◽  
Author(s):  
Karl A Stroetmann ◽  
Peter Gruetzmacher ◽  
Veli N Stroetmann

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.


Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3270 ◽  
Author(s):  
Hao Cai ◽  
Zhaozheng Hu ◽  
Gang Huang ◽  
Dunyao Zhu ◽  
Xiaocong Su

Self-localization is a crucial task for intelligent vehicles. Existing localization methods usually require high-cost IMU (Inertial Measurement Unit) or expensive LiDAR sensors (e.g., Velodyne HDL-64E). In this paper, we propose a low-cost yet accurate localization solution by using a custom-level GPS receiver and a low-cost camera with the support of HD map. Unlike existing HD map-based methods, which usually requires unique landmarks within the sensed range, the proposed method utilizes common lane lines for vehicle localization by using Kalman filter to fuse the GPS, monocular vision, and HD map for more accurate vehicle localization. In the Kalman filter framework, the observations consist of two parts. One is the raw GPS coordinate. The other is the lateral distance between the vehicle and the lane, which is computed from the monocular camera. The HD map plays the role of providing reference position information and correlating the local lateral distance from the vision and the GPS coordinates so as to formulate a linear Kalman filter. In the prediction step, we propose using a data-driven motion model rather than a Kinematic model, which is more adaptive and flexible. The proposed method has been tested with both simulation data and real data collected in the field. The results demonstrate that the localization errors from the proposed method are less than half or even one-third of the original GPS positioning errors by using low cost sensors with HD map support. Experimental results also demonstrate that the integration of the proposed method into existing ones can greatly enhance the localization results.


2020 ◽  
Author(s):  
Fábio Rodrigues de la Rocha

Public street lighting management is a well known problemwhich can be revisited from the perspective of Smart Cities.In Smart Cities there is an interconnection of services andinfrastructure to provide sustainable growth and improvementsin citizens’ quality of life. In this research work, weexplore new low cost technologies to create a smart streetlight system capable of monitoring and controlling the lamps,thus reducing the costs with maintenance and allowing amore rational use of electricity.


2021 ◽  
Author(s):  
Joy Louise -Onoria ◽  
Raymond Odokonyero ◽  
Bruno Giordani ◽  
Dickens Akena ◽  
Emmanuel Mwesiga ◽  
...  

Abstract Background: Uganda’s population, though, largely characterized by young people, has seen the number of people aged 60 and over grow from 686,000 twenty years ago, to 1,433,596 in 2014. Effective caring for the well-being of this population requires strategic and deliberate planning that involves quality of life (QoL) assessments. QoL assessments among the elderly are important in evaluating the efficacy of strategies, such as health interventions, welfare programs, health care, and well-being of the elderly. However, elderly in Uganda face several challenges, ranging from loneliness, poor housing, lack of social and financial support, and poor health. These may negatively affect older persons’ quality of life and consequently their perceptions and attitudes towards aging. Methods: The study was carried out in 2019 in the communities of Nansana and Busukuma town councils in Wakiso district, Uganda. The participants were 380 people 60 years and older. To establish the association between perceptions of ageing and QoL, this study utilized a locally adapted version of the Older Person’s Quality of Life Questionnaire (OPQOL) and the Brief Ageing Perceptions Questionnaire (B-APQ). The OPQOL assesses three domains of QoL: Health QoL (HQoL); Social economic QoL (SQoL); and Psychosocial QoL (PQoL). The B-APQ assesses perceptions about physical age, participation in social activities, and perceptions about ability to regulate emotions as one ages. Pearson’s Chi-square tests were used to characterize the relationship between the perceptions and quality of life.Results: The majority of the respondents, 61% (95%CI 56.7-64.8), had negative perceptions towards ageing. Eighty six percent had poor HQoL, 90% poor SQoL and 83% poor PQoL. There was a significant association between good HQoL and positive perception about participation in social activities (X2 = 7.3670, P = 0.007) as well as with positive perception on regulation of emotions (X2 = 18.1803, P<0.001). There was a significant association between good SQoL and positive perception about participation in social activities (X2 = 5.3472, P = 0.021), as well with positive perception on regulation of emotions (X2 = 10.5128, P<0.001). A significant association between good PQoL and positive perception on regulation of emotions (X2 = 9.2414, P= 0.002).Conclusion: Positive perceptions of ageing are associated with good QoL. Directly addressing perceptions of ageing could be a low cost and effective strategy to improve the QoL of older persons in SSA


Author(s):  
L. Marek ◽  
M. Campbell ◽  
M. Epton ◽  
M. Storer ◽  
S. Kingham

The opportunity of an emerging smart city in post-disaster Christchurch has been explored as a way to improve the quality of life of people suffering Chronic Obstructive Pulmonary Disease (COPD), which is a progressive disease that affects respiratory function. It affects 1 in 15 New Zealanders and is the 4th largest cause of death, with significant costs to the health system. While, cigarette smoking is the leading cause of COPD, long-term exposure to other lung irritants, such as air pollution, chemical fumes, or dust can also cause and exacerbate it. Currently, we do know little what happens to the patients with COPD after they leave a doctor’s care. By learning more about patients’ movements in space and time, we can better understand the impacts of both the environment and personal mobility on the disease. This research is studying patients with COPD by using GPS-enabled smartphones, combined with the data about their spatiotemporal movements and information about their actual usage of medication in near real-time. We measure environmental data in the city, including air pollution, humidity and temperature and how this may subsequently be associated with COPD symptoms. In addition to the existing air quality monitoring network, to improve the spatial scale of our analysis, we deployed a series of low-cost Internet of Things (IoT) air quality sensors as well. The study demonstrates how health devices, smartphones and IoT sensors are becoming a part of a new health data ecosystem and how their usage could provide information about high-risk health hotspots, which, in the longer term, could lead to improvement in the quality of life for patients with COPD.


Author(s):  
Robinson Jimenez-Moreno ◽  
Astrid Rubiano ◽  
Jose L. Ramirez

Assistance robotics is presented as a means of improving the quality of life of people with disabilities, an application case is presented in assisted feeding. This paper presents the development of a system based on artificial intelligence techniques, for the grip of a glass, so that it does not slip during its manipulation by means of a robotic arm, as the liquid level varies. A faster R-CNN is used for the detection of the glass and the arm's gripper, and from the data obtained by the network, the mass of the beverage is estimated, and a delta of distance between the gripper and the liquid. These estimated values are used as inputs for a fuzzy system which has as output the torque that the motor that drives the gripper must exert. It was possible to obtain a 97.3% accuracy in the detection of the elements of interest in the environment with the faster R-CNN, and a 76% performance in the grips of the glass through the fuzzy algorithm.


2018 ◽  
pp. 900-916
Author(s):  
Hyuma Watanabe ◽  
Masatoshi Kawarasaki ◽  
Akira Sato ◽  
Kentaro Yoshida

Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, the authors developed a wearable electrocardiographic (ECG) monitoring and alerting system “iHeart”. iHeart continuously monitors patient's ECG in his/her daily activities and issues an alert to the patient as well as surrounding people if it detects abnormal heart behaviour. iHeart consists of a wireless ECG sensor and a smartphone to achieve light-weighted, low-cost system that does not degrade the patient's Quality of Life. In parallel, the authors developed ECG analysis algorithm to detect R-wave as well as arrhythmia, and implemented these algorithms in wireless ECG sensor rather than in smartphone to save power consumption of ECG sensor caused by radio communication. The authors proof the practicality and usefulness of our system in clinical experiment. This paper describes the implementation of iHeart, evaluation experiment, and future requirements of the system.


Author(s):  
Ana Branca Carvalho ◽  
Fernanda Nogueira

This chapter aims to contribute to the literature and aid in developing a theoretical and practical framework in the area of organization and human resource. With contributions and research from different perspectives, this paper is an essential source for students, researchers and managers in the franchising chains. There has been an increased interest in human resources problems and in new forms of organizations. The concept of Trust can be combined to satisfy the needs of people seeking better quality-of-life. This analyzes the problems of human resources management features of franchising chain business management. The franchising chains involve two aspects: the relation based in trust and a group that develops an innovation idea. It contributes to economic growth, as a pillar to support other complementary activities with a low cost. This system contributes to employment growth and regional wealth, contributes to new ideas helps create new services with high value, promotes establishment of international cooperation networks, and yields a number of additional benefits.


2018 ◽  
Vol 176 ◽  
pp. 01011
Author(s):  
YE Xin ◽  
JI Qian

The shared economy has been developing rapidly with low cost, low consumption and high environmental efficiency features under the background of internet waves. The shared economy model has emerged in housing, catering, and travel. As people look forward to high quality of life and their social interaction need, the shared kitchen platform arises at the right moment. This paper takes the shared kitchen as an example, focusing on the patients and their caregivers, the existing shared kitchens and its service platform as well as the space system design and human-computer interaction of the shared kitchen have been investigated and analysized. Taking the "high efficiency, the intelligence and the humanization" as the design principles, we are committed to exploring new directions for modular kitchen design under the background of shared economy.


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