The　purpose　of　this　study　is　to　gain　an　in-depth　understanding　of　the　safety　needs,　psychological　characteristics　and　functional　experience　of　the　elderly　and　combining　the　technology　of　digital　intelligence,　and　through　scientific　methods,　we　aim　to　provide　targeted　guidance　for　designers　to　ensure　that　the　products　can　be　better　adapted　to　the　living　environment　of　the　elderly　and　individual　differences　and　to　improve　the　level　of　personalisation　and　intelligence　of　the　rehabilitation　process　of　the　elderly.　The　methodology　adopts　the　analytic　hierarchy　process　(AHP)　to　systematically　assess　the　importance　of　each　factor　in　the　design　of　intelligent　rehabilitation　products　for　the　elderly,　and　by　reasonably　constructing　a　hierarchical　framework,　the　design　factors　of　intelligent　rehabilitation　products　for　the　elderly　are　stratified,　and　the　weights　are　assigned　using　the　opinions　of　experts　in　the　relevant　fields.　By　comparing　and　analysing　the　relative　importance　of　each　factor,　a　comprehensive　trade-off　model　is　established　to　guide　the　priorities　and　directions　of　product　design.　At　the　same　time,　combined　with　in-depth　user　interviews　and　literature　reading,　the　actual　use　context　of　the　product　and　feedback　from　the　elderly　are　taken　into　account　in　order　to　improve　the　accuracy　and　practicality　of　the　model.　This　study　derives　the　relative　importance　of　each　factor　in　the　design　of　intelligent　rehabilitation　products　for　the　elderly　and　forms　a　set　of　systematic　design　guidelines.　The　findings　provide　a　series　of　useful　insights　and　clear　guidelines　for　designers,　who　need　to　focus　on　the　elderly　population＇s　concerns　about　safety,　and　cut　through　the　physiological　and　psychological　perspectives.　Through　in-depth　interaction　with　the　elderly　and　analysis　of　indicator　data,　this　study　also　identified　some　details　that　are　easily　overlooked　in　conventional　design,　and　this　group　of　people　holds　an　optimistic　attitude　towards　the　combination　of　digital　intelligence　elements　in　products,　providing　new　ideas　and　directions　for　future　design　and　research.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.　2024.