Identification of Physical Parameters in a Robotized IPC Device Interacting with Human

2014 ◽  
Vol 490-491 ◽  
pp. 1729-1733 ◽  
Author(s):  
Carlo Ferraresi ◽  
Hamidreza Hajimirzaalian ◽  
Daniela Maffiodo
Keyword(s):  
Intermittent Pneumatic Compression ◽  
Physical Parameters ◽  
Human Machine Interaction ◽  
Sports Activity ◽  
Simple Method ◽  
Performance Recovery ◽  
Pneumatic Compression Devices ◽  
Definition Of ◽  
And Control ◽  
Machine Interaction

Intermittent Pneumatic Compression devices are widely used for various therapies concerning the cardio-circulatory or lymphatic system, and also for performance recovery in sports activity. The development and setup of such devices are mainly based on empirical procedures, while few researches adopt an engineering approach based on mathematical modeling and identification. In this approach, the most critical point is the definition of parameters concerning the human-machine interaction. This paper proposes an original and simple method to identify such parameters, which allows to describe in effective way the main dynamic characteristics, fundamental for a correct design and control of the device.

AF 447 as a Paradigmatic Accident

2021 ◽  
pp. 1-27
Author(s):  
Antonio Chialastri
Keyword(s):  
Complex Systems ◽  
Human Factors ◽  
Cognitive Demands ◽  
Human Machine Interaction ◽  
History Of ◽  
Definition Of ◽  
Machine Interaction

In this chapter, the author presents a human factors problem for automation: why, when, and how automation has been introduced in the aviation domain; what problems arise from different ways of operating; and the possible countermeasures to limit faulty interaction between humans and machines. This chapter is divided into parts: definition of automation, its advantages in ensuring safety in complex systems such as aviation; reasons for the introduction of on-board automation, with a quick glance at the history of accidents in aviation and the related safety paradigms; ergonomics: displays, tools, human-machine interaction emphasizing the cognitive demands in high tempo and complex flight situations; illustration of the AF 447 case, a crash happened in 2009, which causes are linked to faulty human-machine interaction.

Identifying Human-Machine Interaction Problems in Continuous State Data

2016 ◽  
Vol 60 (1) ◽  
pp. 86-90
Author(s):  
Arik-Quang V. Dao ◽  
James R. Parkinson ◽  
Steven J. Landry
Keyword(s):  
Human Error ◽  
Pupil Diameter ◽  
Control Parameters ◽  
Human Machine Interaction ◽  
Continuous State ◽  
Operator Control ◽  
And Control ◽  
Main Effects ◽  
Machine Interaction ◽  
Aircraft Data

A set of studies has been focused on identifying “markers” in aircraft data that are indicative of human factors issues. In this paper we discuss an experiment that investigated if human error is predictable from the error observed from the combined human-machine system. Sixteen pilots flew simulated instrument approaches under varying levels of workload and control augmentation conditions. Operator control lag, gain, delay, and error extent were computed from aircraft lateral path errors. These parameters along with pupil diameter data were analyzed for differences across workload conditions. Main effects for workload were found with respect to all control parameters consistent with the experiment hypotheses, but the effects were very small. Operator delay in responding to errors appeared inversely correlated with workload. Statistically significant differences were also found with respect to error extent ad pupil diameter.

scholarly journals Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment—Insights from the Chinese Case in Facing COVID-19

2020 ◽  
Author(s):  
Francesca Iandolo ◽  
Francesca Loia ◽  
Irene Fulco ◽  
Chiara Nespoli ◽  
Francesco Caputo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Business Models ◽  
New Technologies ◽  
Human Machine Interaction ◽  
Decision Making Processes ◽  
Unpredictable Environment ◽  
Definition Of ◽  
Machine Interaction

AbstractThe increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

Achieving an Information System's Capability through C2

2015 ◽  
Vol 7 (1) ◽  
pp. 80-96
Author(s):  
Ana C. Calderon ◽  
Peter Johnson
Keyword(s):  
Autonomous Agents ◽  
Autonomous Systems ◽  
Academic Research ◽  
Command And Control ◽  
Human Machine Interaction ◽  
Military Research ◽  
Task Modeling ◽  
General Aspects ◽  
And Control ◽  
Machine Interaction

The authors present a literature review of command and control, linking sociological elements of academic research to military research in a novel way. They will discuss task modeling literature (seen in human machine interaction studies), general aspects of collectives and military and academic research on command and control, studies of autonomous systems and considerations of interactions between humans and autonomous agents. Based on the survey and associations between aspects from these fields, the authors compose a recommendation list for aspects crucial to building of information systems capable of achieving their true capability, through command and control.

AF 447 as a Paradigmatic Accident

2019 ◽  
pp. 166-192
Author(s):  
Antonio Chialastri
Keyword(s):  
Complex Systems ◽  
Human Factors ◽  
Cognitive Demands ◽  
Human Machine Interaction ◽  
History Of ◽  
Definition Of ◽  
Machine Interaction

In this chapter, the author presents a human factors problem for automation: why, when, and how automation has been introduced in the aviation domain; what problems arise from different ways of operating; and the possible countermeasures to limit faulty interaction between humans and machines. This chapter is divided into parts: definition of automation, its advantages in ensuring safety in complex systems such as aviation; reasons for the introduction of on-board automation, with a quick glance at the history of accidents in aviation and the related safety paradigms; ergonomics: displays, tools, human-machine interaction emphasizing the cognitive demands in high tempo and complex flight situations; illustration of the AF 447 case, a crash happened in 2009, which causes are linked to faulty human-machine interaction.

Articular Geometry Reconstruction for Knee Joint with a Wearable Compliant Device

Robotica ◽  
2019 ◽  
Vol 37 (12) ◽  
pp. 2104-2118 ◽  
Author(s):  
Jiajie Guo ◽  
Zihang Wang ◽  
Jianyong Fu ◽  
Kok-Meng Lee
Keyword(s):  
Knee Joint ◽  
Compliant Mechanism ◽  
Reconstruction Method ◽  
Human Machine Interaction ◽  
Boundary Constraints ◽  
Geometry Reconstruction ◽  
And Control ◽  
Simulated Analysis ◽  
Machine Interaction

SummaryNonlinear articular geometries of biological joints have contributed to highly agile and adaptable human-body motions. However, human–machine interaction could potentially distort natural human motions if the artificial mechanisms overload the articular surfaces and constrain biological joint kinematics. It is desired to better understand the deformable articular geometries of biological joints in vivo during movements for design and control of wearable robotics. An articular geometry reconstruction method is proposed to measure the effective articular profile with a wearable compliant device and illustrated with its application to knee-joint kinematic analysis. Regarding the joint articulation as boundary constraints for the compliant mechanism, the equivalent articular geometry is constructed from the beam deformations driven by knee motions, where the continuous deformations are estimated with strain data from the embedded sensors. Both simulated analysis and experimental validation are presented to justify the proposed method.

scholarly journals All-in-One Self-Powered Human–Machine Interaction System for Wireless Remote Telemetry and Control of Intelligent Cars

Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2711
Author(s):  
Tingting Zhang ◽  
Lingjie Xie ◽  
Junyan Li ◽  
Zheguan Huang ◽  
Hao Lei ◽  
...  
Keyword(s):  
Intelligent Control ◽  
Mechanical Energy ◽  
Triboelectric Nanogenerator ◽  
Stable Operation ◽  
Wearable Electronics ◽  
Human Machine Interaction ◽  
System A ◽  
Self Powered ◽  
And Control ◽  
Machine Interaction

The components in traditional human–machine interaction (HMI) systems are relatively independent, distributed and low-integrated, and the wearing experience is poor when the system adopts wearable electronics for intelligent control. The continuous and stable operation of every part always poses challenges for energy supply. In this work, a triboelectric technology-based all-in-one self-powered HMI system for wireless remote telemetry and the control of intelligent cars is proposed. The dual-network crosslinking hydrogel was synthesized and wrapped with functional layers to fabricate a stretchable fibrous triboelectric nanogenerator (SF-TENG) and a supercapacitor (SF-SC), respectively. A self-charging power unit containing woven SF-TENGs, SF-SCs, and a power management circuit was exploited to harvest mechanical energy from the human body and provided power for the whole system. A smart glove designed with five SF-TENGs on the dorsum of five fingers acts as a gesture sensor to generate signal permutations. The signals were processed by the microcontroller and then wirelessly transmitted to the intelligent car for remote telemetry and control. This work is of paramount potential for the application of various terminal devices in self-powered HMI systems with high integration for wearable electronics.

Cable-Driven Robots in Physical Rehabilitation

2021 ◽  
pp. 255-290
Author(s):  
Rogério Sales Gonçalves ◽  
Thiago Alves ◽  
Giuseppe Carbone ◽  
Marco Ceccarelli
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Physical Therapy ◽  
Physical Rehabilitation ◽  
Robot Design ◽  
Human Machine Interaction ◽  
Rehabilitation Robots ◽  
And Control ◽  
Machine Interaction ◽  
Robotic Tools

This chapter deals with cable-driven robots when applied in physical rehabilitation. In general, neurorehabilitation is limited to physical therapy that is delivered by clinicians and potentially augmented by robotic tools to facilitate neurorehabilitation and to reduce the consequences of central nervous system injury. Among the robotic tools for rehabilitation can be considered the cable-driven manipulators. First, this chapter presents the upper and lower human limbs movements. The main rehabilitation robots are presented as exoskeletons and cable-driven manipulators. After, the cable-driven manipulators theory is introduced focusing on considerations for robot design in rehabilitation and control with safe human-machine interaction. Experimental examples with different cable-driven robot's structures are presented so that this chapter suggests that these structures can be used as a complement to conventional therapies and not as a substitute. Finally, this chapter presents the clinical evidence in cable-driven robots when applied in physical rehabilitation.

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