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Preface; Organizing Committee; Chair Scientific Program Committee; Scientific Program Committee/Review Committee 9. AAL Kongress "Zukunft Lebensräume Kongress 2016"; Contents; Technical Assistance for Urban Areas; 1 Integration of Stationary and Wearable Support Services for an Actively Assisted Living of Elderly People: Capabilities, Achievements, Limitations, Prospects-A Case Study; Abstract; 1 Problem Description; 2 System Structure; 3 System Implementation; 3.1 EDLs and ADLs; 3.2 Wellbeing Calculation and Monitoring; 3.3 Learning the Nominal Values; 4 Experiences
4.1 Development of Functionality Over the Years4.2 Usability; 4.3 Practicability; 4.4 Synergies by Integrating Stationary and Wearable Information in the LFAS; 5 Discussion; 6 Conclusions and Future Work; References; 2 QuoVadis-Definition of Requirements and Conception for Interconnected Living in a Quarter for Dementia Patients; Abstract; 1 Introduction; 2 State of the Art; 2.1 Detection of Wandering; 2.2 Detection of Abnormal Behavior; 2.3 Stove Deactivation Systems; 2.4 Emergency Alert System; 3 Definition of Requirements
3.1 Requirements Derived from the Workshop and the Interviews with Relatives and Experts3.2 Study of Assisted Living Communities for Dementia Patients; 4 QuoVadis System Architecture; 4.1 Security; 4.2 Individual Care; 4.2.1 Adaptive Care Support System; 4.2.2 Organization and Activation; 5 Conclusion; Acknowledgements; References; Technology for Smart Environments; 3 Invisible Human Sensing in Smart Living Environments Using Capacitive Sensors; Abstract; 1 Introduction; 1.1 Capacitive Sensing; 1.2 Activity Recognition; 1.3 Interacting in Smart Environments
1.4 Applications in Activity Recognition1.5 Applications in Interaction with Smart Environments; 1.6 Opportunities and Challenges; 1.7 Outlook and Conclusion; References; 4 LivingCare-An Autonomously Learning, Human Centered Home Automation System: Collection and Preliminary Analysis of a Large Dataset of Real Living Situations; Abstract; 1 Overview; 2 State of the Art; 2.1 Home Automation; 2.2 Mobility Analysis and Behavior Modeling; 2.3 Statistical Data Mining and Stochastic Processes; 3 Own Approach; 3.1 Scenarios; 4 Realization; 4.1 Test Persons/Subjects; 4.2 The Penthouse
4.3 Home Automation4.4 Sensors; 4.5 Installation; 5 Results; 5.1 Method; 5.2 Association Analysis; 5.3 General Activity; 5.4 Activity Detection Through Analysis of Electrical Parameters; 5.5 Determining Occupation Times; 5.6 Estimation of Walking Speed and Recognition of Persons with Movement Sensor Data; 5.7 Detection of Behavior Patterns; 6 Discussion; References; New Approaches for Localization and Activity Sensing in Smart Environments; 1 Introduction; 2 Theoretical Background; 2.1 Electric Potential Sensing; 2.2 Ultrasonic Sensing; 3 Own Approaches
4.1 Development of Functionality Over the Years4.2 Usability; 4.3 Practicability; 4.4 Synergies by Integrating Stationary and Wearable Information in the LFAS; 5 Discussion; 6 Conclusions and Future Work; References; 2 QuoVadis-Definition of Requirements and Conception for Interconnected Living in a Quarter for Dementia Patients; Abstract; 1 Introduction; 2 State of the Art; 2.1 Detection of Wandering; 2.2 Detection of Abnormal Behavior; 2.3 Stove Deactivation Systems; 2.4 Emergency Alert System; 3 Definition of Requirements
3.1 Requirements Derived from the Workshop and the Interviews with Relatives and Experts3.2 Study of Assisted Living Communities for Dementia Patients; 4 QuoVadis System Architecture; 4.1 Security; 4.2 Individual Care; 4.2.1 Adaptive Care Support System; 4.2.2 Organization and Activation; 5 Conclusion; Acknowledgements; References; Technology for Smart Environments; 3 Invisible Human Sensing in Smart Living Environments Using Capacitive Sensors; Abstract; 1 Introduction; 1.1 Capacitive Sensing; 1.2 Activity Recognition; 1.3 Interacting in Smart Environments
1.4 Applications in Activity Recognition1.5 Applications in Interaction with Smart Environments; 1.6 Opportunities and Challenges; 1.7 Outlook and Conclusion; References; 4 LivingCare-An Autonomously Learning, Human Centered Home Automation System: Collection and Preliminary Analysis of a Large Dataset of Real Living Situations; Abstract; 1 Overview; 2 State of the Art; 2.1 Home Automation; 2.2 Mobility Analysis and Behavior Modeling; 2.3 Statistical Data Mining and Stochastic Processes; 3 Own Approach; 3.1 Scenarios; 4 Realization; 4.1 Test Persons/Subjects; 4.2 The Penthouse
4.3 Home Automation4.4 Sensors; 4.5 Installation; 5 Results; 5.1 Method; 5.2 Association Analysis; 5.3 General Activity; 5.4 Activity Detection Through Analysis of Electrical Parameters; 5.5 Determining Occupation Times; 5.6 Estimation of Walking Speed and Recognition of Persons with Movement Sensor Data; 5.7 Detection of Behavior Patterns; 6 Discussion; References; New Approaches for Localization and Activity Sensing in Smart Environments; 1 Introduction; 2 Theoretical Background; 2.1 Electric Potential Sensing; 2.2 Ultrasonic Sensing; 3 Own Approaches