Braun, Andreas ; Schembri, Ingrid ; Frank, Sebastian (2015)
ExerSeat - Sensor-Supported Exercise System for Ergonomic Microbreaks.
Ambient Intelligence, 12th European Conference, AmI 2015.
doi: 10.1007/978-3-319-26005-1_16
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The percentage of older adult workers in Europe has been increasing in the last decades. They are an important part of the work force, highly experienced and often hard to replace. However, their productivity can be affected by health problems, such as lower back pain. This increases the cost for employers and reduces the quality of life of the office workers. Knowledge workers that spend a large part of their day in front of a screen are particularly affected by pack pain. Regular exercise can help to mitigate some of these issues. This training can be performed in microbreaks that are taken at regular intervals during the work day. In this work we present ExerSeat, a combination of a smart sensing chair that uses eight capacitive proximity sensors to precisely track the posture of persons on or near an office chair. It is augmented by a desktop training software that is able to track exercises and training units during microbreaks, by analyzing frequency and form. We have performed a pilot over eight weeks with ten office workers. They performed training units at regular intervals during their work day. We report on the findings.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Braun, Andreas ; Schembri, Ingrid ; Frank, Sebastian |
| Art des Eintrags: | Bibliographie |
| Titel: | ExerSeat - Sensor-Supported Exercise System for Ergonomic Microbreaks |
| Sprache: | Englisch |
| Publikationsjahr: | 2015 |
| Verlag: | Springer |
| Reihe: | Lecture Notes in Computer Science (LNCS); 9425 |
| Veranstaltungstitel: | Ambient Intelligence, 12th European Conference, AmI 2015 |
| DOI: | 10.1007/978-3-319-26005-1_16 |
| Kurzbeschreibung (Abstract): | The percentage of older adult workers in Europe has been increasing in the last decades. They are an important part of the work force, highly experienced and often hard to replace. However, their productivity can be affected by health problems, such as lower back pain. This increases the cost for employers and reduces the quality of life of the office workers. Knowledge workers that spend a large part of their day in front of a screen are particularly affected by pack pain. Regular exercise can help to mitigate some of these issues. This training can be performed in microbreaks that are taken at regular intervals during the work day. In this work we present ExerSeat, a combination of a smart sensing chair that uses eight capacitive proximity sensors to precisely track the posture of persons on or near an office chair. It is augmented by a desktop training software that is able to track exercises and training units during microbreaks, by analyzing frequency and form. We have performed a pilot over eight weeks with ten office workers. They performed training units at regular intervals during their work day. We report on the findings. |
| Freie Schlagworte: | Business Field: Digital society, Research Area: Human computer interaction (HCI), Smart environments, Capacitive sensors, Posture recognition, Ergonomics, Machine learning, Evaluation |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 08 Mai 2019 08:01 |
| Letzte Änderung: | 08 Mai 2019 08:01 |
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