Extraction of sparse features of color images in recognizing objects

Bui, Thao Phuong; Vu, Thang Tat; Hong, Keum–Shik

doi:10.1007/s12555-014-0502-9

Cited by 16 publications

(2 citation statements)

References 46 publications

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“…Mobile healthcare services are rapidly becoming commonplace owing to their ability to gather diverse personalized information and provide a way to continuously share periodic user status data [40][41][42][43]. Specifically, smart healthcare systems have been combined with noninvasive medical methods [44,45], to spearhead the global smart healthcare market [46][47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Design of Appropriate Technology-Assisted Urine Tester Enabling Remote and Long-Term Monitoring of Health Conditions

Lee

Bae

2020

Sustainability

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A novel design idea supported by affordable design processes can address unresolved social problems such as the imbalance of opportunity in healthcare services, owing to high costs and a lack of access. We designed an appropriate technology-assisted urine tester to provide healthcare services for the elderly and underprivileged in order to monitor their health conditions daily and remotely help them determine whether to visit hospitals/clinics for in-depth diagnoses. To minimize production costs, we used a charge-coupled device camera for colorimetric-type urine analysis in conjunction with commercially available urine test strips; all other electronic components were mass-produced. We calibrated this urine tester and compared it with a commercially available high-end tester; the results showed high accuracy for most urine compounds. We verified its major device functions by recruiting four participants who tested their urine over four weeks and provided self-surveys of their health conditions. The proposed tester demonstrates a low price-to-performance ratio with high reliability, while its production and maintenance costs are as low as 20 USD per set. We focused on a human-centered technological approach from a simple and innovative design point of view in order to serve people and healthcare providers in an affordable way. We believe that the tester can be widely distributed, exemplifying appropriate technological application for those who require, but cannot enjoy, proper medical services, thereby improving social healthcare sustainability.

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Section: Introductionmentioning

confidence: 99%

Design of Appropriate Technology-Assisted Urine Tester Enabling Remote and Long-Term Monitoring of Health Conditions

Lee

Bae

2020

Sustainability

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“…Many RGB-D sensor-based object recognition schemes either required prior knowledge of the entire surface of the object or adopted the learning algorithms [6][7][8]. Both schemes should be provided with a sufficient amount of data to train the algorithms.…”

Section: Introductionmentioning

confidence: 99%

Onboard Real-time Object Surface Recognition for a Small Indoor Mobile Platform Based on Surface Component Ratio Histogram

Chae

Song

2019

Int. J. Control Autom. Syst.

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Since a RGB-D sensor provides rich information about the scene, various object recognition schemes and low-level image descriptors can be used to improve the SLAM performance. However, a cleaning robot, which is usually flat and thus the camera is close to the floor, usually only has a partial view of the objects in front of the camera; therefore, conventional object recognition schemes based on the complete view of objects are not suitable. To address this problem, we introduce a novel object surface recognition algorithm based on the proposed surface component ratio histogram (SCRH). SCRH is a surface descriptor which describes the geometrical shape of the partial view of the object. Without any pre-trained model of the objects, SCRH provides a way to deal with the unexpected objects which the robot encounters during the navigation. SCRH was evaluated using several objects lying on the floor of which the identities are not known in advance. The experimental results show that objects are successfully discriminated based on their surfaces and SCRH is robust for object surface recognition.

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Transportation Object Detection with Bag of Visual Words Model by PLSA and MLP

Song

Choi

2018

Mobile Netw Appl

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Extraction of sparse features of color images in recognizing objects

Cited by 16 publications

References 46 publications

Design of Appropriate Technology-Assisted Urine Tester Enabling Remote and Long-Term Monitoring of Health Conditions

Design of Appropriate Technology-Assisted Urine Tester Enabling Remote and Long-Term Monitoring of Health Conditions

Onboard Real-time Object Surface Recognition for a Small Indoor Mobile Platform Based on Surface Component Ratio Histogram

Transportation Object Detection with Bag of Visual Words Model by PLSA and MLP

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