Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments最新文献_第6页

Motion Instruction Method Using Head Motion-Associated Virtual Stereo Rearview 基于头部运动关联的虚拟立体后视镜的运动指导方法

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3064941

Y. Nomura, Hiroaki Fukuoka, Ryota Sakamoto, T. Sugiura

{"title":"Motion Instruction Method Using Head Motion-Associated Virtual Stereo Rearview","authors":"Y. Nomura, Hiroaki Fukuoka, Ryota Sakamoto, T. Sugiura","doi":"10.1145/3056540.3064941","DOIUrl":"https://doi.org/10.1145/3056540.3064941","url":null,"abstract":"Recent years, virtual reality (VR) technologies have been used for teaching motion skills to learners. We have studied a VR assistive system to improve teaching and learning the motion skills by using an inertial sensor-driven head-mount-display (HMD). In this paper, as a preliminary step of the development, we proposed a motion instruction method using \"Head motion-Associated virtual stereo rearView (HAV in short),\" and conducted a feasibility study on a pose-recognition performance. That is, expert's poses are displayed toward learners with the use of the VR assist system. In the system, the learners watch virtual stereo rear views via HMD, and perceive and reproduce the displayed expert's poses. Here, the virtual stereo camera is assumed to be located at a third person perspective viewpoint (3PP viewpoint) away from the back of the learner's head, and is moved in accordance with the head-rotating motions measured by the HMD-embedded inertial sensors. The proposed system is expected to enhance the subject's visual sensation for pose-recognition. A preliminary experiment result is reported in this paper.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129308416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic action recognition for assistive robots to support MCI patients at home 辅助机器人的自动动作识别，以支持家中轻度认知障碍患者

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3076185

G. Stavropoulos, Dimitrios Giakoumis, K. Moustakas, D. Tzovaras

{"title":"Automatic action recognition for assistive robots to support MCI patients at home","authors":"G. Stavropoulos, Dimitrios Giakoumis, K. Moustakas, D. Tzovaras","doi":"10.1145/3056540.3076185","DOIUrl":"https://doi.org/10.1145/3056540.3076185","url":null,"abstract":"This paper presents a novel approach for automatic human action recognition, focusing on user behaviour monitoring needs of assistive robots that aim to support Mild Cognitive Impairment (MCI) patients at home. Our action recognition method utilizes the human's skeleton joints information, extracted from a low-cost depth sensor mounted on a service robot. Herein, we extend the state of art EigenJoints descriptor to improve recognition robustness for a series of actions involved in common daily activities. Specifically, we introduce novel features, so as to take into account action specificities such as the joints' travelled distance and their evolution trend in subsequent frames to the reference one. In addition, we use information related to the user's manipulated objects, taking into account that several actions may be similar, yet performed with different objects, as well as the fact that real, practical applications involve continuous input video streams rather than pre-segmented action sequences. Through experimental evaluation on the MSR Action3D dataset, our approach has been found to outperform the state of art in action recognition performance. Evaluation has also been performed on a custom dataset, providing further promising results for future practical applications of our overall action recognition framework.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115557901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Usability study of a brain-computer interface applied to people with cerebral palsy 脑机接口用于脑瘫患者的可用性研究

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3064951

Jéferson Fernandes da Silva, A. C. Savall, A. R. G. Ramirez

引用次数: 0

Markerless 3D Human Pose Estimation and Tracking based on RGBD Cameras: an Experimental Evaluation 基于RGBD相机的无标记三维人体姿态估计与跟踪:实验评估

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3056543

Damien Michel, Ammar Qammaz, Antonis A. Argyros

引用次数: 26

Real-Life Guards for Human-Centered Systems 以人为本系统的真实警卫

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3076210

N. Serbedzija

引用次数: 0

Irregular Gait Detection using Wearable Sensors 基于可穿戴传感器的不规则步态检测

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3056555

Andreas Lydakis, P. Kao, M. Begum

{"title":"Irregular Gait Detection using Wearable Sensors","authors":"Andreas Lydakis, P. Kao, M. Begum","doi":"10.1145/3056540.3056555","DOIUrl":"https://doi.org/10.1145/3056540.3056555","url":null,"abstract":"This paper presents a personalized system for detecting irregular gait parameters that may lead to a fall. Accurate detection of gait irregularities may be used to deliver targeted feedback for improving gait patterns and thereby reducing the risk of a fall. The proposed system uses Inertia Measurement Units(IMUs), proximity (PR) and infrared (IR) sensors. We separate the system into two distinct components. The first component is used to detect the current gait phase of the wearer based on the incoming sensor data. The second component combines the sensor data with the label produced by the first component used to classify the gait as regular or irregular in a manner that may potentially lead to a fall. The system can identify the occurrence of three distinct gait irregularities that may lead to a fall: small step width, low foot clearance and excessive trunk sway. For this, we use an Adaptive Neuro-Fuzzy Inference System (ANFIS). The system was trained on three healthy subjects to evaluate its ability to identify irregular gait. Results show that the system can provide real time results with an accuracy equal or greater to similar systems in the existing literature.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human Comfort and Skill Evaluation During Interaction with PAMV 在与PAMV交互过程中，人类的舒适度和技能评价

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3076213

D. Kochubey, P. Tuma

引用次数: 1

SARA: Subjective and Objective Data Acquisition for Physiotherapy Treatment Support SARA:物理治疗支持的主观和客观数据获取

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3076180

G. Bieber, R. Seidel, Rene Portwich

{"title":"SARA: Subjective and Objective Data Acquisition for Physiotherapy Treatment Support","authors":"G. Bieber, R. Seidel, Rene Portwich","doi":"10.1145/3056540.3076180","DOIUrl":"https://doi.org/10.1145/3056540.3076180","url":null,"abstract":"The work of physiotherapists is very important for the cure of patients. Physiotherapy has a long historical background. Physiotherapists are working almost manually, treat pain and movement restrictions, support rehabilitation and support the recovering of strength and wellbeing. The healing of the patients is a slow process and subjective impressions about pain or discomfort are important for the quality and adjustment of the treatment. The quality of treatment is dependent by the skills and knowledge of the therapist. Unfortunately, objective indicators of a good or successful treatment in the area of physiotherapy are rare; a comprehensive documentation after the therapy is often missing. With SARA, a platform for physiotherapy treatment support, the physiotherapist have received a new tool that allows an objective assessment of the treatment progress, the condition of their patients, and a documentation about the physical performance and further needs. This paper describes the concept and the measurement methods for the unobtrusive monitoring of the treatment quality and the results of the therapy.","PeriodicalId":140232,"journal":{"name":"Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"416 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133679322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Distribution of Language Measures among Individuals with and without Non-Fluent Aphasia 非流利性失语症患者和非流利性失语症患者的语言测量分布

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3076214

Paula Conn

引用次数: 0

Rewind/Remind: A cognitive tool for people with associative memory deficits 倒带/提醒:为有联想记忆缺陷的人提供的认知工具

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2017-06-21 DOI: 10.1145/3056540.3076178

Theodora Toutountzi, Cheryl Abellanoza, Arnav Garg, Dylan Ebert, F. Makedon

引用次数: 0