Yeh‐Liang Hsu

Yuan Ze University

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Co-Authors

Che-Chang Yang

National Tsing Hua University

Chih‐Ming Cheng

Taipei Veterans General Hospital

Chang-Huei Wu

Yuan Ze University

Chia‐Chieh Yu

Chunghwa Picture Tubes (Taiwan)

Ming-Sho Hsu

ITRI International

Jun-Ming Lu

Guangxi Maternal and Child Health Hospital

Tzung-Cheng Tsai

Yuan Ze University

Dorothy Li Bai

Taipei Medical University

Ming‐Hsiu Hsu

National Central University

Henk Herman Nap

Eindhoven University of Technology

Cooperative Institutions

Yuan Ze University

National Yang Ming Chiao Tung University

National Tsing Hua University

National Taiwan University

National Cheng Kung University

Istituto Nazionale di Riposo e Cura per Anziani

Istituti di Ricovero e Cura a Carattere Scientifico

Taipei Medical University

Taipei Veterans General Hospital

HumanTotalCare (Netherlands)

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Real-time gait cycle parameters recognition using a wearable motion detector

Che-Chang Yang Yeh‐Liang Hsu Jun-Ming Lu Kao‐Shang Shih Lung Chan

This paper presents the use of an accelerometry-based wearable motion detector for real-time recognizing gait cycle parameters of Parkinson's disease (PD) patients. The wearable motion detector uses a tri-axial accelerometer to measure trunk accelerations during walking. By using the autocorrelation procedure, several gait cycle parameters including cadence, gait regularity, and symmetry can be derived in real-time from the measured trunk acceleration data. The gait cycle parameters derived from 5 elder PD patients and 5 young healthy subjects are also compared. The measures of the gait cycle parameters between the PD patients and the healthy subjects are distinct and therefore can be quantified and distinguished, which indicates that detection of abnormal gaits of PD patients in real-time is also possible. The wearable motion detector developed in this paper is a practical system that enables quantitative and objective mobility assessment. The possible applications of this system are also discussed.

Gait cycle

Cadence

Wearable Technology

10.1109/icsse.2011.5961954

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Citations (14)

Notes on Interpreting Monotonicity Analysis Using Karush-Kuhn-Tucker Conditions and MONO: A Logic Program for Monotonicity Analysis

Yeh‐Liang Hsu

Abstract The Monotonicity Principles are only necessary conditions. All principles are under the condition “if the problem is well constrained”. But one of the important purposes of Monotonicity Analysis is to identify optimization models that are not well constrained. Before applying Monotonicity Principles to a problem, whether the problem is well constrained is not known. This paper attempts to clarify some potential problems of Monotonicity Analysis when applying to not-well-constrained problems. These problems can be easily explained using the Karush-Kuhn-Tucker optimality conditions. Ways to prevent the users from reaching erroneous results in these situations are proposed. These results are implemented in the computer program MONO. MONO is a logic program which automatically generates rigorous Monotonicity Analysis steps and global facts about the optimization model. Hardware and software requirements of this program are minimal. A hydraulic cylinder design example is used to demonstrate the program.

Karush–Kuhn–Tucker conditions

10.1115/detc1993-0397

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Citations (1)

Real-Time Gait Cycle Parameter Recognition Using a Wearable Accelerometry System

Sensors (2011)

Che-Chang Yang Yeh‐Liang Hsu Kao‐Shang Shih Jun-Ming Lu

This paper presents the development of a wearable accelerometry system for real-time gait cycle parameter recognition. Using a tri-axial accelerometer, the wearable motion detector is a single waist-mounted device to measure trunk accelerations during walking. Several gait cycle parameters, including cadence, step regularity, stride regularity and step symmetry can be estimated in real-time by using autocorrelation procedure. For validation purposes, five Parkinson’s disease (PD) patients and five young healthy adults were recruited in an experiment. The gait cycle parameters among the two subject groups of different mobility can be quantified and distinguished by the system. Practical considerations and limitations for implementing the autocorrelation procedure in such a real-time system are also discussed. This study can be extended to the future attempts in real-time detection of disabling gaits, such as festinating or freezing of gait in PD patients. Ambulatory rehabilitation, gait assessment and personal telecare for people with gait disorders are also possible applications.

Cadence

Gait cycle

STRIDE

10.3390/s110807314

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Citations (113)

Robots That Look After Grandma? A Gerontechnology Point of View

International series on intelligent systems, control and automation: science and engineering (2022)

Yeh‐Liang Hsu

Gerontechnology

Ambient Intelligence

Social robot

Interface (matter)

Everyday Life

10.1007/978-3-031-09823-9_9

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Citations (0)

Development of an Interactive System for a Companion Robot Based on Telepresence Technology

Mechanisms and machine science (2019)

Siyu Chen Ligang Yao Yeh‐Liang Hsu Teddy Chen

Voice command device

Videoconferencing

10.1007/978-3-030-30036-4_18

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Citations (2)

Uniform luminance design of the direct‐type backlight unit of liquid crystal displays using neural networks

Journal of the Chinese Institute of Engineers (2009)

Yeh‐Liang Hsu Chia‐Chieh Yu Yao‐Tung Wang Ming‐Hsiu Hsu

Light efficiency optimization of a direct‐type backlight unit (BLU) of the liquid crystal display (LCD) is considered in this paper. The purpose of this research is to obtain the greatest uniformity in a direct‐type BLU, while the brightness is maintained in a satisfactory level.It is difficult to find a numerical optimization algorithm that is readily applicable to this problem because of the existence of discrete variables, implicit objective functions and constraints, or even binary constraints. The sequential neural‐network approximation (SNA) method is designed specifically for this type of engineering design optimization problem. In this paper, a two variable LCD BLU design example is presented first to illustrate the design process using the SNA method. Then a four variable LCD BLU design optimization problem is solved.

Backlight

10.1080/02533839.2009.9671554

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Citations (1)

The use of psychophysiological methods in the evaluation of mental commitment robots for elderly care

Journal of Industrial and Production Engineering (2015)

Jun-Ming Lu Yeh‐Liang Hsu

This study aims to conduct objective user evaluation of mental commitment robots for elderly care using psychophysiological methods, including heart rate, skin temperature, skin conductance, and eye gaze data. In stage 1, four males and five females aged from 57 to 67 years old were recruited to interact with eight robot prototypes. The purpose was to validate whether the measures are capable of differentiating the semi-elderly and elderly users’ feelings about the robots, as well as capturing a rough preference of the robot’s anthropomorphism, size, weight, voice pitch, and covering material. In stage 2, two teleoperated robots and two autonomous robots were adopted in real human–robot interaction (HRI) with six males and 10 females aged from 52 to 80 years old. The results reflect the semi-elderly and elderly users’ preference in real HRIs, which may facilitate the developers to respond to the market more closely and effectively.

Teleoperation

Skin conductance

10.1080/21681015.2015.1078420

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Citations (6)

Remote monitoring and assessment of daily activities in the home environment

Journal of Clinical Gerontology and Geriatrics (2012)

Che-Chang Yang Yeh‐Liang Hsu

Quantitative analysis of daily activities measured by home monitoring systems can be helpful to assess objectively the health-related living behavior and functional ability of older adults. Advances in sensors and telecommunication technologies have prompted the concept and development of implementing diverse sensors and intelligent algorithms to monitor human/environment interactions. This paper presents the remote monitoring and assessment of daily activities of older adults living alone at home, assuming that comprehensive profiles of daily activities at home can be captured by using simple and low-cost sensors in a less diverse modality. A passive home monitoring system with a minimal set of sensing modalities, namely human infrared and electric current, was developed and used for continuous and unobtrusive monitoring of daily activities of an elderly woman for over 6 months. Four movement detectors were deployed in different indoor locations to detect active movements, and an appliance usage detector detected television use. A set of activity features that measure the intensity, regularity and abnormalities of activity patterns is defined and demonstrated to quantify the characteristics and rhythms of daily activities of the subject. Different rhythms of daily activities can be estimated from different locations at home, and distinct behaviors were shown between weekdays and holidays. Unusual activities have been detected by the system, too. The system setup did not require modification of home furnishings that could obstruct the subject's daily living or cause any discomfort or displeasure to the subject. This study suggests that daily activities of an older adult living alone at home can be measured by means of low-cost sensors in a less-diverse sensor modality, and daily rhythms can be quantified with a simple estimation method. The activity features developed in this study are built into a home telehealth system for telecare applications.

Modalities

Modality (human–computer interaction)

Activity monitor

10.1016/j.jcgg.2012.06.002

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Citations (54)

Development of a portable device for home monitoring of snoring

Yeh‐Liang Hsu Ming-Chou Chen Chih‐Ming Cheng Chang-Huei Wu

Snoring analysis is important for the diagnosis and treatment of sleep-related breathing disorders (SRBD). Snoring has traditionally been assessed in clinical practice from subjective accounts by the snorer and his/her partner. The use of polysomnographic recording is a standard evaluation procedure for SRBD patients. However, it is expensive and is not suitable for long term monitoring. This paper describes the development of a portable microcontroller based device for long-term, home monitoring of snoring. By analyzing the temporal feature of the snoring sound, this device can output the total snoring count, average number of snores per hour, and the number of intermittent snoring. In our tests, the average success rate in identifying snores is over 85% in a lab environment and around 70% in a home.

Sleep

Feature (linguistics)

Sleep-Disordered Breathing

10.1109/icsmc.2005.1571511

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Citations (11)

A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring

Sensors (2010)

Che-Chang Yang Yeh‐Liang Hsu

Characteristics of physical activity are indicative of one’s mobility level, latent chronic diseases and aging process. Accelerometers have been widely accepted as useful and practical sensors for wearable devices to measure and assess physical activity. This paper reviews the development of wearable accelerometry-based motion detectors. The principle of accelerometry measurement, sensor properties and sensor placements are first introduced. Various research using accelerometry-based wearable motion detectors for physical activity monitoring and assessment, including posture and movement classification, estimation of energy expenditure, fall detection and balance control evaluation, are also reviewed. Finally this paper reviews and compares existing commercial products to provide a comprehensive outlook of current development status and possible emerging technologies.

Motion sensors

Wearable Technology

10.3390/s100807772

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Citations (973)