Gerhard Tröster - Academia.edu (original) (raw)

Papers by Gerhard Tröster

Research paper thumbnail of Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments

Journal of Ambient Intelligence and Smart Environments

Research paper thumbnail of Arousal pattern analysis of an Olympic champion in ski jumping

Sports Technology, 2010

Mental strength is essential to success in many sports disciplines, especially in professional sk... more Mental strength is essential to success in many sports disciplines, especially in professional ski jumping. While physiological signals can reveal information on the mental state, their measurement and analysis for elite ski jumping athletes during competition has not been realised. For the first time in professional ski jumping, we investigated heart rate (HR), its temporal pattern, and corresponding body motion in relation to arousal of the Olympic ski jumping gold medallist Simon Ammann during actual competitions, including his Vancouver 2010 Winter Olympics victory. Using a miniature, on-body ECG monitor with integrated acceleration sensor, we collected a dataset of 99 hours length, including 37 hill jumps. Arousal was assessed from HR data conditioned on body position and acceleration data. The HR and its pattern were analysed during competition days, actual jump situations (training, qualification, and competition) and pre-performance routines. HR was related to the competitiveness of the jump situation, even when physical sports performance remained unchanged. Arousal during jumping and pre-performance routines showed highly reproducible HR patterns. The HR pattern, as assessed by dynamic time warping, deviated during the final Olympic jump, at which time the athlete reported difficulties in regulating arousal in his trained manner. Our approach can be used to collect, analyse, and visualise data to assess an athlete's levels and patterns of arousal during typical competitive situations. We believe that data collected in field-based studies with on-body sensing technology could assist in the design of arousal assessment tools and help facilitate top performance levels.

Research paper thumbnail of Architecture and implementation of a single-board desktop supercomputer

Lecture Notes in Computer Science, 1995

. A distributed-memory parallel computer (the "ff7&a... more . A distributed-memory parallel computer (the "ff7") with apeak-performance of more than GFlop was implemented on an area of300 square inch. The seven processing elements are interconnected usingIntelligent Communication -- a communication scheme already approvedin the MUSIC, a DSP based parallel computer of the Electronics Lab.The combination of processing elements built up using standard componentswith a fast, low-latency communication scheme implemented inhardware leads to a powerful ...

Research paper thumbnail of Wearable EOG goggles

Proceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09, 2009

Research paper thumbnail of Inferring Travel Purpose from Crowd-Augmented Human Mobility Data

Proceedings of the The First International Conference on IoT in Urban Space, 2014

Research paper thumbnail of Recognition of User Activity Sequences Using Distributed Event Detection

Lecture Notes in Computer Science, 2007

Research paper thumbnail of Context Cells: Towards Lifelong Learning in Activity Recognition Systems

Lecture Notes in Computer Science, 2009

Research paper thumbnail of Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation

Lecture Notes in Computer Science, 2006

Research paper thumbnail of Dealing with Class Skew in Context Recognition

26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006

Research paper thumbnail of Decentralized Detection of Group Formations from Wearable Acceleration Sensors

2009 International Conference on Computational Science and Engineering, 2009

Research paper thumbnail of A wearable, ambient sound-based approach for infrastructureless fuzzy proximity estimation

International Symposium on Wearable Computers (ISWC) 2010, 2010

Research paper thumbnail of GaitAssist

Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14, 2014

ABSTRACT Patients with Parkinson’s disease often experience freezing of gait, which bears a high ... more ABSTRACT Patients with Parkinson’s disease often experience freezing of gait, which bears a high risk of falling, a prevalent cause for morbidity and mortality. In this work we present GaitAssist, a wearable system for freezing of gait support in daily life. The system provides real-time auditory cueing after the onset of freezing episodes. Furthermore, GaitAssist implements training exercises to learn how to handle freezing situations. GaitAssist is the result of a design process where we considered the input of engineers, clinicians and 18 Parkinson’s disease patients, in order to find an optimal trade-off between system wearability and performance. We tested the final system in a user study with 5 additional patients. They reported a reduction in the freezing of gait duration as a result of the auditory stimulation provided, and that they feel the system enhanced their confidence during walking.

Research paper thumbnail of Gesture spotting using wrist worn microphone and 3-axis accelerometer

Proceedings of the 2005 joint conference on Smart objects and ambient intelligence innovative context-aware services: usages and technologies - sOc-EUSAI '05, 2005

Research paper thumbnail of Design of a multimodal hearing system

Computer Science and Information Systems, 2013

Hearing instruments (HIs) have become context-aware devices that analyze the acoustic environment... more Hearing instruments (HIs) have become context-aware devices that analyze the acoustic environment in order to automatically adapt sound processing to the user?s current hearing wish. However, in the same acoustic environment an HI user can have different hearing wishes requiring different behaviors from the hearing instrument. In these cases, the audio signal alone contains too little contextual information to determine the user?s hearing wish. Additional modalities to sound can provide the missing information to improve the adaption. In this work, we review additional modalities to sound in HIs and present a prototype of a newly developed wireless multimodal hearing system. The platform takes into account additional sensor modalities such as the user?s body movement and location. We characterize the system regarding runtime, latency and reliability of the wireless connection, and point out possibilities arising from the novel approach.

Research paper thumbnail of Exploration of head gesture control for hearing instruments

International Journal of Ad Hoc and Ubiquitous Computing, 2014

In this work, we investigated the BENEFIT of head gestures as a user interface to control hearing... more In this work, we investigated the BENEFIT of head gestures as a user interface to control hearing instruments (HIs). We developed a prototype of a head-gesture-controlled HI, which was based on a customised wireless acceleration sensor for unconstrained and continuous real-time monitoring of the user's head movements. We evaluated the system from a technical point of view and achieved a precision of 96% and a recall of 97% for spotting the two head gestures used: tilting the head to the left and right side. We further evaluated the system from the user's point of view based on the feedback from 6 hearing-impaired HI users (4 men, 2 women, age 27-60).We compared our head-gesture-based control to existing HI user interfaces: HI-integrated buttons and HI remote control. We found that the benefit of the different HI interaction solutions depends on the user's current situations and that all participating HI users would appreciate head gesture control as an additional, complementing user interface.

Research paper thumbnail of Fusing On-Body Sensing with Local and Temporal Cues for Daily Activity Recognition

Proceedings of the 9th International Conference on Body Area Networks, 2014

Research paper thumbnail of A Data-Driven Approach to Kinematic Analysis in Running Using Wearable Technology

2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012

Research paper thumbnail of The Path Towards Woven Thin-film Transistors

MRS Proceedings, 2010

Electronic textiles (or e-textiles) have a wide range of potential applications in wearable compu... more Electronic textiles (or e-textiles) have a wide range of potential applications in wearable computing and large-area applications, including medical monitoring, assistance to the disabled, and distributed sensor networks. We aim to integrate thin-film electronics directly into clothing during the weaving process. First, thin-film devices are fabricated on plastic substrates. Individual devices are separated by cutting the substrate into stripes which can then be woven into a textile. Devices on stripes need to survive high applied bending strains during weaving. As a first building block, we used atomic layer deposition (ALD) at a maximum temperature of 150oC to fabricate bottom-gate zinc-oxide thin-film transistors (TFTs) with a 25nm-thick Al2O3 gate dielectric, and a 15nm-thick ZnO semiconducting layer on 50μm-thick Kapton E substrates. These TFTs had average mobilities of 12cm2/Vs, threshold voltages around 1V and subthreshold slopes around 250mV/decade. However, after applying a...

Research paper thumbnail of RoomSense

Proceedings of the 4th Augmented Human International Conference on - AH '13, 2013

ABSTRACT We present RoomSense, a new method for indoor positioning using smartphones on two resol... more ABSTRACT We present RoomSense, a new method for indoor positioning using smartphones on two resolution levels: rooms and within-rooms positions. Our technique is based on active sound fingerprinting and needs no infrastructure. Rooms and within-rooms positions are characterized by impulse response measurements. Using acoustic features of the impulse response and pattern classification, an estimation of the position is performed. An evaluation study was conducted to analyse the localization performance of RoomSense. Impulse responses of 67 within-rooms positions from 20 rooms were recorded with the hardware of a smartphone. In total 5360 impulse response measurements were collected. Our evaluation study showed that RoomSense achieves a room-level accuracy of > 98% and a within-rooms positions accuracy of > 96%. Additionally, the implementation of RoomSense as an Android App is presented in detail. The RoomSense App enables to identify an indoor location within one second.

Research paper thumbnail of On-Body Context Recognition with Miniaturized Autonomous Sensor Button (Situationserkennung mit am Körper getragenen autonomen Minisensoren)

tm - Technisches Messen, 2007

The vision of wearable computing is a personal mobile system that is always “on” and always usefu... more The vision of wearable computing is a personal mobile system that is always “on” and always useful and unobtrusive. In this article we present the on-body context recognition analysis considering the functionality or recognition performance, power, and packaging. Interaction with household appliances using a wrist worn “autonomous sensor button” is analyzed as a case study. An overall on-line recognition performance between 85 and 91% is reported. The measured power consumption of the sensor button at 10% duty cycle is around 500 μW. The power profiling in an office worker daily life scenario shows that it's possible to achieve autonomous operation by a solar cell having an area of 40cm2 Die Vision eines tragbaren Computers besteht aus einem PDA, der ständig eingeschaltet, ständig nutzbringend und trotzdem nicht aufdringlich ist. In diesem Beitrag stellen wir ein System zur Situationserkennung vor und betrachten Funktionalität, Erkennungsqualität, Leistungsverbrauch und Gehäusung. Das Zusammenwirken mit Hausgeräten, unter Verwendung eines am Handgelenk getragenen autonomen Sensorknopfes, wird als Fallstudie behandelt. Eine Gesamt-Online-Erkennungsrate zwischen 85 und 91% wird erreicht. Der gemessene Leistungsverbrauch eines Sensorknopfes beträgt bei einem Tastverhältnis von 10% etwa 500 μW. Das Leistungsprofil in einem für Büroangestellte üblichen Szenario zeigt, dass es möglich ist, einen autonomen Betrieb mit einer Solarzellenfläche von 40 cm2 sicherzustellen.

Research paper thumbnail of Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments

Journal of Ambient Intelligence and Smart Environments

Research paper thumbnail of Arousal pattern analysis of an Olympic champion in ski jumping

Sports Technology, 2010

Mental strength is essential to success in many sports disciplines, especially in professional sk... more Mental strength is essential to success in many sports disciplines, especially in professional ski jumping. While physiological signals can reveal information on the mental state, their measurement and analysis for elite ski jumping athletes during competition has not been realised. For the first time in professional ski jumping, we investigated heart rate (HR), its temporal pattern, and corresponding body motion in relation to arousal of the Olympic ski jumping gold medallist Simon Ammann during actual competitions, including his Vancouver 2010 Winter Olympics victory. Using a miniature, on-body ECG monitor with integrated acceleration sensor, we collected a dataset of 99 hours length, including 37 hill jumps. Arousal was assessed from HR data conditioned on body position and acceleration data. The HR and its pattern were analysed during competition days, actual jump situations (training, qualification, and competition) and pre-performance routines. HR was related to the competitiveness of the jump situation, even when physical sports performance remained unchanged. Arousal during jumping and pre-performance routines showed highly reproducible HR patterns. The HR pattern, as assessed by dynamic time warping, deviated during the final Olympic jump, at which time the athlete reported difficulties in regulating arousal in his trained manner. Our approach can be used to collect, analyse, and visualise data to assess an athlete's levels and patterns of arousal during typical competitive situations. We believe that data collected in field-based studies with on-body sensing technology could assist in the design of arousal assessment tools and help facilitate top performance levels.

Research paper thumbnail of Architecture and implementation of a single-board desktop supercomputer

Lecture Notes in Computer Science, 1995

. A distributed-memory parallel computer (the "ff7&a... more . A distributed-memory parallel computer (the "ff7") with apeak-performance of more than GFlop was implemented on an area of300 square inch. The seven processing elements are interconnected usingIntelligent Communication -- a communication scheme already approvedin the MUSIC, a DSP based parallel computer of the Electronics Lab.The combination of processing elements built up using standard componentswith a fast, low-latency communication scheme implemented inhardware leads to a powerful ...

Research paper thumbnail of Wearable EOG goggles

Proceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09, 2009

Research paper thumbnail of Inferring Travel Purpose from Crowd-Augmented Human Mobility Data

Proceedings of the The First International Conference on IoT in Urban Space, 2014

Research paper thumbnail of Recognition of User Activity Sequences Using Distributed Event Detection

Lecture Notes in Computer Science, 2007

Research paper thumbnail of Context Cells: Towards Lifelong Learning in Activity Recognition Systems

Lecture Notes in Computer Science, 2009

Research paper thumbnail of Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation

Lecture Notes in Computer Science, 2006

Research paper thumbnail of Dealing with Class Skew in Context Recognition

26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06), 2006

Research paper thumbnail of Decentralized Detection of Group Formations from Wearable Acceleration Sensors

2009 International Conference on Computational Science and Engineering, 2009

Research paper thumbnail of A wearable, ambient sound-based approach for infrastructureless fuzzy proximity estimation

International Symposium on Wearable Computers (ISWC) 2010, 2010

Research paper thumbnail of GaitAssist

Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14, 2014

ABSTRACT Patients with Parkinson’s disease often experience freezing of gait, which bears a high ... more ABSTRACT Patients with Parkinson’s disease often experience freezing of gait, which bears a high risk of falling, a prevalent cause for morbidity and mortality. In this work we present GaitAssist, a wearable system for freezing of gait support in daily life. The system provides real-time auditory cueing after the onset of freezing episodes. Furthermore, GaitAssist implements training exercises to learn how to handle freezing situations. GaitAssist is the result of a design process where we considered the input of engineers, clinicians and 18 Parkinson’s disease patients, in order to find an optimal trade-off between system wearability and performance. We tested the final system in a user study with 5 additional patients. They reported a reduction in the freezing of gait duration as a result of the auditory stimulation provided, and that they feel the system enhanced their confidence during walking.

Research paper thumbnail of Gesture spotting using wrist worn microphone and 3-axis accelerometer

Proceedings of the 2005 joint conference on Smart objects and ambient intelligence innovative context-aware services: usages and technologies - sOc-EUSAI '05, 2005

Research paper thumbnail of Design of a multimodal hearing system

Computer Science and Information Systems, 2013

Hearing instruments (HIs) have become context-aware devices that analyze the acoustic environment... more Hearing instruments (HIs) have become context-aware devices that analyze the acoustic environment in order to automatically adapt sound processing to the user?s current hearing wish. However, in the same acoustic environment an HI user can have different hearing wishes requiring different behaviors from the hearing instrument. In these cases, the audio signal alone contains too little contextual information to determine the user?s hearing wish. Additional modalities to sound can provide the missing information to improve the adaption. In this work, we review additional modalities to sound in HIs and present a prototype of a newly developed wireless multimodal hearing system. The platform takes into account additional sensor modalities such as the user?s body movement and location. We characterize the system regarding runtime, latency and reliability of the wireless connection, and point out possibilities arising from the novel approach.

Research paper thumbnail of Exploration of head gesture control for hearing instruments

International Journal of Ad Hoc and Ubiquitous Computing, 2014

In this work, we investigated the BENEFIT of head gestures as a user interface to control hearing... more In this work, we investigated the BENEFIT of head gestures as a user interface to control hearing instruments (HIs). We developed a prototype of a head-gesture-controlled HI, which was based on a customised wireless acceleration sensor for unconstrained and continuous real-time monitoring of the user's head movements. We evaluated the system from a technical point of view and achieved a precision of 96% and a recall of 97% for spotting the two head gestures used: tilting the head to the left and right side. We further evaluated the system from the user's point of view based on the feedback from 6 hearing-impaired HI users (4 men, 2 women, age 27-60).We compared our head-gesture-based control to existing HI user interfaces: HI-integrated buttons and HI remote control. We found that the benefit of the different HI interaction solutions depends on the user's current situations and that all participating HI users would appreciate head gesture control as an additional, complementing user interface.

Research paper thumbnail of Fusing On-Body Sensing with Local and Temporal Cues for Daily Activity Recognition

Proceedings of the 9th International Conference on Body Area Networks, 2014

Research paper thumbnail of A Data-Driven Approach to Kinematic Analysis in Running Using Wearable Technology

2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012

Research paper thumbnail of The Path Towards Woven Thin-film Transistors

MRS Proceedings, 2010

Electronic textiles (or e-textiles) have a wide range of potential applications in wearable compu... more Electronic textiles (or e-textiles) have a wide range of potential applications in wearable computing and large-area applications, including medical monitoring, assistance to the disabled, and distributed sensor networks. We aim to integrate thin-film electronics directly into clothing during the weaving process. First, thin-film devices are fabricated on plastic substrates. Individual devices are separated by cutting the substrate into stripes which can then be woven into a textile. Devices on stripes need to survive high applied bending strains during weaving. As a first building block, we used atomic layer deposition (ALD) at a maximum temperature of 150oC to fabricate bottom-gate zinc-oxide thin-film transistors (TFTs) with a 25nm-thick Al2O3 gate dielectric, and a 15nm-thick ZnO semiconducting layer on 50μm-thick Kapton E substrates. These TFTs had average mobilities of 12cm2/Vs, threshold voltages around 1V and subthreshold slopes around 250mV/decade. However, after applying a...

Research paper thumbnail of RoomSense

Proceedings of the 4th Augmented Human International Conference on - AH '13, 2013

ABSTRACT We present RoomSense, a new method for indoor positioning using smartphones on two resol... more ABSTRACT We present RoomSense, a new method for indoor positioning using smartphones on two resolution levels: rooms and within-rooms positions. Our technique is based on active sound fingerprinting and needs no infrastructure. Rooms and within-rooms positions are characterized by impulse response measurements. Using acoustic features of the impulse response and pattern classification, an estimation of the position is performed. An evaluation study was conducted to analyse the localization performance of RoomSense. Impulse responses of 67 within-rooms positions from 20 rooms were recorded with the hardware of a smartphone. In total 5360 impulse response measurements were collected. Our evaluation study showed that RoomSense achieves a room-level accuracy of > 98% and a within-rooms positions accuracy of > 96%. Additionally, the implementation of RoomSense as an Android App is presented in detail. The RoomSense App enables to identify an indoor location within one second.

Research paper thumbnail of On-Body Context Recognition with Miniaturized Autonomous Sensor Button (Situationserkennung mit am Körper getragenen autonomen Minisensoren)

tm - Technisches Messen, 2007

The vision of wearable computing is a personal mobile system that is always “on” and always usefu... more The vision of wearable computing is a personal mobile system that is always “on” and always useful and unobtrusive. In this article we present the on-body context recognition analysis considering the functionality or recognition performance, power, and packaging. Interaction with household appliances using a wrist worn “autonomous sensor button” is analyzed as a case study. An overall on-line recognition performance between 85 and 91% is reported. The measured power consumption of the sensor button at 10% duty cycle is around 500 μW. The power profiling in an office worker daily life scenario shows that it's possible to achieve autonomous operation by a solar cell having an area of 40cm2 Die Vision eines tragbaren Computers besteht aus einem PDA, der ständig eingeschaltet, ständig nutzbringend und trotzdem nicht aufdringlich ist. In diesem Beitrag stellen wir ein System zur Situationserkennung vor und betrachten Funktionalität, Erkennungsqualität, Leistungsverbrauch und Gehäusung. Das Zusammenwirken mit Hausgeräten, unter Verwendung eines am Handgelenk getragenen autonomen Sensorknopfes, wird als Fallstudie behandelt. Eine Gesamt-Online-Erkennungsrate zwischen 85 und 91% wird erreicht. Der gemessene Leistungsverbrauch eines Sensorknopfes beträgt bei einem Tastverhältnis von 10% etwa 500 μW. Das Leistungsprofil in einem für Büroangestellte üblichen Szenario zeigt, dass es möglich ist, einen autonomen Betrieb mit einer Solarzellenfläche von 40 cm2 sicherzustellen.