scholarly journals Using a Mobile Phone as a “Wii-like” Controller for Playing Games on a Large Public Display

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Tamas Vajk ◽  
Paul Coulton ◽  
Will Bamford ◽  
Reuben Edwards
Keyword(s):  
User Experience ◽  
Three Dimensions ◽  
Sensor Data ◽  
Motion Sensors ◽  
Public Display ◽  
Nintendo Wii ◽  
Mobile Games ◽  
3D Motion ◽  
Game Controller ◽  
Control Schemes

Undoubtedly the biggest success amongst the recent games console releases has been the launch of the Nintendo Wii. This is arguably due to its most innovative attribute—the wireless controller or “Wiimote.” The Wiimote can be used as a versatile game controller, able to detect motion and rotation in three dimensions which allows for very innovative game play. Prior to the Wii, and with much less furor, Nokia launched its 5500 model phone which contains 3D motion sensors. Using the Sensor API library available for the Symbian OS, this sensor data can be used by developers to create interesting new control schemes for mobile games. Whilst 3D motion can be utilized for ondevice games, in this paper we present a novel system that connects these phones to large public game screens via Bluetooth where it becomes a game controller for a multiplayer game. We illustrate the potential of this system through a multiplayer driving game using the Microsoft XNA framework and present preliminary feedback on the user experience from a public trial which highlights that these controls can be both intuitive and fun.

scholarly journals Empowering Advanced Driver-Assistance Systems from Topological Data Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 634
Author(s):  
Tarek Frahi ◽  
Francisco Chinesta ◽  
Antonio Falcó ◽  
Alberto Badias ◽  
Elias Cueto ◽  
...  
Keyword(s):  
Data Analysis ◽  
The State ◽  
Sensor Data ◽  
Topological Data Analysis ◽  
Motion Sensors ◽  
Driver Assistance Systems ◽  
The Road ◽  
Topological Features ◽  
Recent Developments ◽  
Topological Data

We are interested in evaluating the state of drivers to determine whether they are attentive to the road or not by using motion sensor data collected from car driving experiments. That is, our goal is to design a predictive model that can estimate the state of drivers given the data collected from motion sensors. For that purpose, we leverage recent developments in topological data analysis (TDA) to analyze and transform the data coming from sensor time series and build a machine learning model based on the topological features extracted with the TDA. We provide some experiments showing that our model proves to be accurate in the identification of the state of the user, predicting whether they are relaxed or tense.

scholarly journals Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection

2018 ◽  
Vol 5 (2) ◽  
pp. 248-257 ◽  
Author(s):  
Ari Muzakir ◽  
Christofora Desi Kusmindari
Keyword(s):  
Error Detection ◽  
Injury Risk ◽  
Sensor Data ◽  
Motion Sensors ◽  
Quality Function ◽  
Risk Of Injury ◽  
Movement Error ◽  
Sample Data ◽  
Quality Function Development ◽  
Push Up

Push-up is the simplest and most widely performed sport. Although simple, it also has a high risk of injury risk if done not in accordance with the rules. Push-up detector is a good push-up motion monitoring solution. In this way, nonstandard movements can be detected and corrected immediately. It has two motion sensors integrated with Arduino-based microcontroller. From this detector tool got the data of push-up result from sensor mounted. Sensor data will be displayed in the application in real-time. Quality function development is used to determine the criteria of the user. The sample data involved 200 participants who followed the testing of this tool and got 90% who can do the push-up correctly. Factors that affect the height, age, and weight. Tests conducted on adolescent boys aged 18-23 years. The results of this study is an application capable of monitoring each push-up movement to position in accordance with the provisions to minimize injuries resulting from movement errors.

scholarly journals Optimizing the User Experience: Identifying Opportunities to Improve Use of an Inpatient Portal

2018 ◽  
Vol 09 (01) ◽  
pp. 105-113 ◽  
Author(s):  
Daniel Walker ◽  
Terri Menser ◽  
Po-Yin Yen ◽  
Ann McAlearney
Keyword(s):  
Learning Styles ◽  
User Experience ◽  
Improve Patient Care ◽  
Three Dimensions ◽  
Instructional Materials ◽  
Inpatient Setting ◽  
Patient Anxiety ◽  
Patient Portals ◽  
User Interactions ◽  
Use Of Technology

Background Patient portals specifically designed for the inpatient setting have significant potential to improve patient care. However, little is known about how the users of this technology, the patients, may interact with the inpatient portals. As a result, hospitals have limited ability to design approaches that support patient use of the portal. Objectives This study aims to evaluate the user experience associated with an inpatient portal. Methods We used a Think-Aloud protocol to study user interactions with a commercially available inpatient portal—MyChart Bedside (MCB). Study participants included 19 English-speaking adults over the age of 18 years. In one-on-one sessions, participants narrated their experience using the MCB application and completing eight specific tasks. Recordings were transcribed and coded into three dimensions of the user experience: physical, cognitive, and sociobehavioral. Results Our analysis of the physical experience highlighted the navigational errors and technical challenges associated with the use of MCB. We also found that issues associated with the cognitive experience included comprehension problems that spurred anxiety and uncertainty. Analysis of the sociobehavioral experience suggested that users have different learning styles and preferences for learning including self-guided, handouts, and in-person training. Conclusion Inpatient portals may be an effective tool to improve the patient experience in the hospital. Moreover, making this technology available to inpatients may help to foster ongoing use of technology across the care continuum. However, deriving the benefits from the technology requires appropriate support. We identified multiple opportunities for hospital management to intervene. In particular, teaching patients to use the application by making a variety of instructional materials available could help to reduce several identified barriers to use. Additionally, hospitals should be prepared to manage patient anxiety and increased questioning arising from the availability of information in the inpatient portal application.

Unravelling the relationship between response time and user experience in mobile applications

2020 ◽  
Vol 30 (5) ◽  
pp. 1353-1382
Author(s):  
Mengli Yu ◽  
Ronggang Zhou ◽  
Zhao Cai ◽  
Chee-Wee Tan ◽  
Huiwen Wang
Keyword(s):  
Response Time ◽  
User Experience ◽  
Mobile Applications ◽  
Response Times ◽  
Negative Influence ◽  
Three Dimensions ◽  
Network Environment ◽  
Content Type ◽  
Varied Response ◽  
The Impact

PurposeThis study examines the impact of response time on user experience for mobile applications and considers the moderating influence of gender and network environment on this relationship.Design/methodology/approachAn experiment was conducted with 50 young adults to evaluate their user experience of a mobile application that simulates variations in network environment and response time. User experience was evaluated based on the three constituent dimensions of tolerance, acceptance, and satisfaction.FindingsAnalytical results demonstrate that response time not only adversely affects user experience of mobile applications, but that this effect is not homogeneous across the three dimensions of tolerance, acceptance and satisfaction. The findings also illustrate that gender moderates the effect of response time on user experience, however, the negative influence is more salient for males than females, which is opposite to our hypothesis. The joint moderating influence of gender and network environment turned out to be partly significant.Practical implicationsBy illuminating users' tolerance, acceptance, and satisfaction with varied response times, findings from this study can inform the design of mobile applications such that desired levels of user experience can be assured with minimum resources.Originality/valueAlthough response time has been hailed as a key determinant of user experience for desktop applications, there is a paucity of studies that have investigated the impact of response time on user experience for mobile applications. Furthermore, prior research on response time neglects the multi-dimensional nature of user experience. This study bridges the above mentioned knowledge gaps by delineating user experience into its constituent dimensions and clarifying the effects of response time on each of these dimensions.

scholarly journals A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition Using a Wearable Hybrid Sensor System

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 546 ◽  
Author(s):  
Haibin Yu ◽  
Guoxiong Pan ◽  
Mian Pan ◽  
Chong Li ◽  
Wenyan Jia ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Short Term Memory ◽  
Specific Activity ◽  
Negative Influence ◽  
Sensor System ◽  
Sensor Data ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Motion State ◽  
Fusion Framework

Recently, egocentric activity recognition has attracted considerable attention in the pattern recognition and artificial intelligence communities because of its wide applicability in medical care, smart homes, and security monitoring. In this study, we developed and implemented a deep-learning-based hierarchical fusion framework for the recognition of egocentric activities of daily living (ADLs) in a wearable hybrid sensor system comprising motion sensors and cameras. Long short-term memory (LSTM) and a convolutional neural network are used to perform egocentric ADL recognition based on motion sensor data and photo streaming in different layers, respectively. The motion sensor data are used solely for activity classification according to motion state, while the photo stream is used for further specific activity recognition in the motion state groups. Thus, both motion sensor data and photo stream work in their most suitable classification mode to significantly reduce the negative influence of sensor differences on the fusion results. Experimental results show that the proposed method not only is more accurate than the existing direct fusion method (by up to 6%) but also avoids the time-consuming computation of optical flow in the existing method, which makes the proposed algorithm less complex and more suitable for practical application.

Expert Knowledge for Modeling Functional Health from Sensor Data

2016 ◽  
Vol 55 (06) ◽  
pp. 516-524 ◽  
Author(s):  
Margriet Pol ◽  
Bianca Buurman ◽  
Ben Kröse ◽  
Saskia Robben
Keyword(s):  
Continuous Monitoring ◽  
Expert Knowledge ◽  
Functional Decline ◽  
Sensor Data ◽  
Functional Health ◽  
Solid Model ◽  
Motion Sensors ◽  
Case Examples ◽  
Active And Healthy Ageing ◽  
Health Experts

Summary Background: ICT based solutions are increasingly introduced for active and healthy ageing. In this context continuous monitoring of older adults with domestic sensor systems has been suggested to provide important information about their functional health. However, there is not yet a solid model for the interpretation of the sensor data. Objectives: The aim of our study is to define a set of predictors of functional health that can be measured with domestic sensors and to determine thresholds that identify relevant changes in these predictors. Methods: On the basis of literature we develop a model that relates functional health predictors to features derived from sensor data. The parameters of this model are determined on the basis of a study among health experts (n = 38). The use of the full model is illustrated with three cases. Results: We identified 25 predictors and their attributes. For 12 of them that can be measured with passive infrared motion sensors we determined their parameters: the attribute thresholds and the urgency thresholds. Conclusions: With the parametrized predictors in the model, domestic sensors can be deployed to assess functional health in a standardized way. Three case examples showed how the model can be used as a screening instrument for functional decline.

scholarly journals A Hybrid User Experience Evaluation Method for Mobile Games

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 49067-49079 ◽  
Author(s):  
Qi Yu ◽  
Xiaoping Che ◽  
Siqi Ma ◽  
Shirui Pan ◽  
Yuxiang Yang ◽  
...  
Keyword(s):  
User Experience ◽  
Evaluation Method ◽  
Mobile Games

scholarly journals Symmetry and reduction in collectives: low-dimensional cyclic pursuit

2016 ◽  
Vol 472 (2194) ◽  
pp. 20160465 ◽  
Author(s):  
Kevin S. Galloway ◽  
Eric W. Justh ◽  
P. S. Krishnaprasad
Keyword(s):  
Closed Loop ◽  
Physical Space ◽  
Relative Equilibria ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Control Schemes ◽  
Loop Dynamics ◽  
Cyclic Pursuit ◽  
Steering Law ◽  
Low Dimensional

We investigate low-dimensional examples of cyclic pursuit in a collective, wherein each agent employs a constant bearing (CB) steering law relative to exactly one other agent. For the case of three agents in the plane, we characterize relative equilibria and pure shape equilibria of associated closed-loop dynamics. Re-scaling time yields a reduction of phase space to two dimensions and effective tools for stability analysis. Study of bifurcation of a family of collinear equilibria dependent on a single CB control parameter reveals the presence of a rich collection of trajectories that are periodic in shape and undergo precession in physical space. For collectives in three dimensions, with an appropriate notion of CB pursuit strategy and corresponding steering law, the two-agent case proves to be explicitly integrable. These results suggest control schemes for small teams of mobile robotic agents engaged in area coverage tasks such as search and rescue, and raise interesting possibilities for behaviour in biological contexts.

A Proposal for One-Hand Control Schemes of First-Person Viewpoint Mobile Games

2016 ◽  
Vol 16 (6) ◽  
pp. 49-58
Author(s):  
InHoo Jung ◽  
Sun-Jeong Kim ◽  
Seung-Hwan Lee
Keyword(s):  
First Person ◽  
Mobile Games ◽  
Control Schemes ◽  
Hand Control

scholarly journals Design Of Push-Up Detector Applications Using Quality Function Development And Anthropometry For Movement Error Detection

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Ari Muzakir ◽  
Christofora Desi Kusmindari
Keyword(s):  
Error Detection ◽  
Injury Risk ◽  
Sensor Data ◽  
Motion Sensors ◽  
Quality Function ◽  
Risk Of Injury ◽  
Movement Error ◽  
Sample Data ◽  
Quality Function Development ◽  
Push Up

Push-up is the simplest and most widely performed sport. Although simple, it also has a high risk of injury risk if done not in accordance with the rules. Push-up detector is a good push-up motion monitoring solution. In this way, nonstandard movements can be detected and corrected immediately. It has two motion sensors integrated with Arduino-based microcontroller. From this detector tool got the data of push-up result from sensor mounted. Sensor data will be displayed in the application in real-time. Quality function development is used to determine the criteria of the user. The sample data involved 200 participants who followed the testing of this tool and got 90% who can do the push-up correctly. Factors that affect the height, age, and weight. Tests conducted on adolescent boys aged 18-23 years. The results of this study is an application capable of monitoring each push-up movement to position in accordance with the provisions to minimize injuries resulting from movement errors.

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