view  of 50  mature  TAS and created  a  mapping be-
tween  functions,  implementation  technologies  and 
addressed user needs. The focus of the examined TAS 
lies on assistance systems that are intended to enable 
elderly people or people with dementia to live an au-
tonomous  and  dignified  life in  their  home  environ-
ment. To this end, sensor technologies are the most 
common  technology  used.  The  large  variety  of  ad-
dressed needs implies that individual TAS will often 
be used in combination with other TAS or appliances. 
Our results support the demand for a more holistic 
view of TAS as meaningfully networked technologies 
to create an interoperating system for a specific con-
text instead  of  many individual  systems.  Therefore, 
the interoperability and integrability of technologies 
must be considered, while simultaneously examining 
user requirements. Future work should adopt a view 
on requirements based on a resource-focused mind set 
(e.g. WHO  ICF classification of  Functioning,  Disa-
bility and Health
2
), rather than a deficit-oriented per-
spective. To overcome the confusion in this research 
field, it is furthermore important to strive for a uni-
form understanding of assistance functions in future 
work. By offering an analysis of the current state and 
guidance for further research and development pro-
jects, this paper contributes to this understanding. 
ACKNOWLEDGEMENT 
The work for this paper was partially funded by the 
European Social Fund and the Free State of Saxony 
(Grant no.100310385). 
REFERENCES 
Addante, F., Gaetani, F., Patrono, L., Sancarlo, D., Sergi, I., 
&  Vergari,  G.  (2019).  An  Innovative  AAL  System 
Based on IoT Technologies for Patients with Sarcope-
nia. Sensors (Basel, Switzerland), 19(22), 4951–4968. 
Biniok, P., & Lettkemann, E. (Eds.). (2017). Assistive Ge-
sellschaft: Multidisziplinäre Erkundungen zur Sozi-
alform ‘Assistenz’. Springer VS. 
Blackman,  S.,  Matlo,  C.,  Bobrovitskiy,  C.,  Waldoch,  A., 
Fang, M. L., Jackson, P., Mihailidis, A., Nygård, L., As-
tell, A., & Sixsmith, A. (2016). Ambient Assisted Liv-
ing Technologies for Aging Well: A Scoping Review. 
Journal of Intelligent Systems, 25(1), 55–69. 
Borelli,  E.,  Paolini,  G.,  Antoniazzi,  F.,  Barbiroli,  M., 
Benassi, F., Chesani, F., Chiari, L., Fantini, M., 
Fuschini, F., Galassi, A., Giacobone, G. A., Imbesi, S., 
Licciardello, M.,  Loreti,  D.,  Marchi,  M., Masotti,  D., 
Mello, P., Mellone, S., Mincolelli, G., … Costanzo, A. 
                                                                                                 
2
 https://www.who.int/classifications/icf/en/  
(2019).  HABITAT:  An  IoT  Solution  for  Independent 
Elderly.  Sensors (Basel, Switzerland),  19(5),  1258–
1280. 
Bozomitu, R. G., Niţă, L., Cehan, V., Alexa, I. D., Ilie, A. 
C.,  Păsărică,  A.,  &  Rotariu,  C.  (2019).  A  New  Inte-
grated System  for  Assistance in Communicating  with 
and  Telemonitoring  Severely  Disabled  Patients.  Sen-
sors (Basel, Switzerland), 19(9), 2026–2056. 
Choi, D., Choi, H., & Shon, D. (2019). Future changes to 
smart home based on AAL healthcare service. Journal 
of Asian Architecture and Building Engineering, 18(3), 
190–199. 
Corno, F., De Russis, L., & Roffarello, A. M. (2017). IoT 
for Ambient Assisted Living: Care4Me – A Healthcare 
Support System. Internet of Things and Advanced Ap-
plication in Healthcare, 66–97. 
Costa, S. E. P., Rodrigues, J. J. P. C., Silva, B. M. C., Isento, 
J. N., & Corchado, J. M. (2015). Integration of Weara-
ble Solutions in AAL Environments with Mobility Sup-
port. Journal of Medical Systems, 39(12), 184. 
Destatis. (2019, April 5). Lebenserwartung in Deutschland 
bei Geburt nach Geschlecht bis 2060.  Statista. 
https://de.statista.com/statistik/daten/studie/273406/ 
umfrage/entwicklung-der-lebenserwartung-bei-geburt-
-in-deutschland-nach-geschlecht/ 
Elsbernd, A., Lehmeyer, S., & Schilling, U. (2012). Tech-
nikgestützte Pflege: Grundlagen, Perspektiven und 
Entwicklungen  (p.  24).  Hochschule  Esslingen. 
urn:nbn:de:bsz:753-opus-2424 
Gerka, A., Eichelberg, M., Stolle, C., Tietjen-Müller, C., 
Brinkmann-Gerdes,  S.,  &  Hein,  A.  (2019).  Intercon-
nected living in a quarter for persons with dementia. In-
formatics for Health and Social Care, 1–18. 
Grgurić, A., Mošmondor, M., & Huljenić, D. (2019). The 
SmartHabits: An Intelligent Privacy-Aware Home Care 
Assistance System. Sensors, 19(4), 907. 
Haux, R., Koch, S., Lovell, N. H., Marschollek, M., 
Nakashima, N., & Wolf, K.-H. (2016). Health-Enabling 
and Ambient Assistive Technologies: Past, Present, Fu-
ture. Yearbook of Medical Informatics, Suppl 1, 76–91. 
Hudec, M., & Smutny, Z. (2017). RUDO: A Home Ambi-
ent Intelligence System for Blind People. Sensors (Ba-
sel, Switzerland), 17(8), 1926–1970. 
Karlsson, E., Axelsson, K., Zingmark, K., & Sävenstedt, S. 
(2011).  The  Challenge  of  Coming  to  Terms  with  the 
Use of a New Digital Assistive Device: A Case Study 
of Two Persons with Mild Dementia. The Open Nursing 
Journal, 5, 102–110. 
Kerssens,  C.,  Kumar,  R.,  Adams,  A.  E.,  Knott,  C.  C., 
Matalenas, L., Sanford, J. A., & Rogers, W. A. (2015). 
Personalized Technology to Support Older Adults With 
and  Without  Cognitive  Impairment  Living  at  Home. 
American Journal of Alzheimer’s Disease & Other De-
mentiasr, 30(1), 85–97. 
Kunze,  C.,  &  König,  P.  (2017).  Systematisierung  tech-
nischer  Unterstützungssysteme  in  den  Bereichen 
Pflege,  Teilhabeunterstützung  und  aktives  Leben  im